01
Weather AI accuracy
22% to 67%
Iterative model improvement and evaluation
Portfolio / 2026
Berke Katrancı
AI / Data / Software / Strategy
Systems thesis
I build intelligent systems with data, code, teams, and strategic thinking.
I am an M.Sc. Informatics student at TU Braunschweig focused on Artificial Intelligence, Data Science, Software Engineering, and complex systems. I turn ideas into working models, products, tools, communities, and long-term strategies.
CurrentlySoftware / AI Developer at TU Braunschweig HPC as student worker - 1st Chairperson of NovaExchangeWorkshop - M.Sc. student at TU Braunschweig
02
Deep Learning Lab
3rd place
72% accuracy in a TU Braunschweig challenge
03
Self Driving
Real Time
A model on Self driving in GTA V environment
04
Community leadership
1st Chair
NovaExchangeWorkshop entrepreneurship club
05
Research environment
TU BS HPC
Software / AI Developer as student worker
06
Technical media
AI & ML
Project videos and learning documentation
About
A systems-minded builder across AI, software, teams, and strategy.
My work connects technical depth with practical execution. AI models are data systems. Software projects are technical systems. Organizations are human systems. Investing is information gathering and decision-making systems. 3D design is spatial and visual systems thinking. Games and NP-hard problems are optimization systems.
AI & Data Engineering
I design and evaluate data-driven systems, machine-learning models, and AI workflows. My focus is not only on training models, but also on understanding data, measuring performance, improving results, and explaining outcomes clearly.
Software Engineering
I build practical software systems using languages and tools such as Python, Java, C++, C#, SQL, Android Studio, Unity, and modern development workflows. I enjoy turning abstract ideas into usable, testable, and maintainable applications.
Leadership & Community
As the 1st Chairperson of NovaExchangeWorkshop, I build organizational structures, coordinate events, connect with speakers, give presentations, and help grow a student community around entrepreneurship and investing.
Investment Thinking
I approach investing as a discipline of long-term thinking, risk management, psychology, and decision-making under uncertainty. I document my personal learning process, performance, frameworks, and reflections transparently while studying Buffett, Munger, and Graham.
Creative Technology
I use Blender, digital sculpting, 3D design, image editing, and video editing as creative extensions of technical thinking. I also write about philosophy and physics. Creative work strengthens my spatial reasoning, patience, design intuition, and attention to detail.
Featured Projects
Evidence of building, measuring, improving, and leading.
Each project is framed by the problem, my role, the technical stack, and the result. The goal is to make the work easy to scan while still showing the engineering context.
Selected work
01
AI & Data Engineering
Machine Learning Weather Forecasting Model
Finished
Problem
Building a predictive model for custom weather sensor data, including reading, cleaning, polishing, and transmitting data.
My role
AI development and team leadership during a practical project at TU Braunschweig.
Result
Improved model accuracy from an initial 22% to 67%. Achieved strong regression metrics including R² above 95% and MSE below 1 depending on the evaluated target.
PythonPandasNumPyScikit-learnTensorFlow/KerasMatplotlib
GitHubArticleVideo
02
AI / Deep Learning
Deep Learning Lab Competition
Finished
Problem
Competing in a TU Braunschweig AI challenge on image segmentation and benchmarking against strong models.
My role
Model development, experimentation, evaluation, and team collaboration.
Result
Achieved 3rd place with 72% accuracy. The winning team achieved 76%.
PythonPyTorchNumPyMatplotlib
GitHubArticle
03
Algorithms / Optimization
NP-Hard Problem Solving Project
Finished
Problem
Working on computationally difficult problems that require algorithmic thinking and optimization strategies.
My role
Team member in a project at IBR, TU Braunschweig.
Result
Built practical experience with optimization, complexity, teamwork, and structured problem solving.
PythonNetworkXOR-ToolsAlgorithmsGraph methods
GitHub
Finished (Selected Projects)
7
Completed projects with concrete delivery, competition, or evaluation outcomes.
04Hardware-Aware Simulation of GPT-Style Language Models on Photonic/Electronic Neuromorphic SystemsAI EngineeringFinished
AI Engineering
Problem
Investigating whether GPT-style language models can tolerate hardware-inspired constraints from a photonic/electronic neuromorphic computing system, including limited SLM weight precision, microLED/DAC activation quantization, ADC readout quantization, and analog noise. The project addresses the broader challenge of evaluating modern AI models for future energy-efficient computing substrates beyond conventional digital accelerators.
My role
AI Engineer, Machine Learning Engineer, Neuromorphic Computing Researcher
Result
Designed and implemented a hardware-aware GPT-style causal language modeling pipeline that simulates photonic/electronic hardware constraints inside selected linear layers. The system models SLM weight quantization, microLED/DAC activation quantization, ADC output quantization, and analog noise during training. Experiments with small GPT-2 style models showed that 8-bit hardware-aware settings remained workable in the tested setup, while aggressive low-bit quantization caused significant degradation. The results also suggested that feed-forward network layers may be a promising first target for future photonic AI acceleration.
PythonPyTorchHugging Face TransformersGPT-2Quantization-Aware TrainingNeuromorphic ComputingPhotonic ComputingNumPyPandas
Thesis
05Lane Detection SystemComputer VisionFinished
Computer Vision
Problem
Developed a real-time computer vision system capable of detecting lane markings from road video frames to support autonomous driving perception and driver-assistance workflows.
My role
Computer Vision Developer, AI Engineer
Result
Built a completed lane detection pipeline that processes road images and video frames, extracts lane markings, applies region-of-interest filtering, detects lane boundaries, and visualizes the detected lanes in real time. The project demonstrates practical experience in classical computer vision, image preprocessing, geometric transformations, and autonomous driving perception fundamentals.
PythonOpenCVNumPyMatplotlibImage ProcessingEdge DetectionHough TransformPerspective TransformRegion of Interest MaskingVideo Processing
Demo
06Quick Math Challenge AppMobile DevelopmentFinished
Mobile Development
Problem
Created a fast-paced Android math application that helps users improve mental calculation speed, focus, and numerical reflexes through quick arithmetic-based challenges.
My role
Android Developer, Solo Developer
Result
Developed and published a native Android math application on Google Play. The app provides quick calculation exercises, interactive feedback, and a lightweight mobile experience designed to train arithmetic speed and concentration. The project demonstrates full-cycle mobile development experience, from implementation and testing to Play Store release.
JavaAndroidAndroid StudioXMLMaterial DesignSharedPreferencesGoogle Play ConsoleGit
Demo
07Memory Learning AppMobile DevelopmentFinished
Mobile Development
Problem
Built a personalized vocabulary learning application to make foreign language words easier to memorize through repetition, review, and quiz-based learning methods.
My role
Android Developer, Solo Developer
Result
Developed and published a native Android vocabulary learning app on Google Play. The application supports word memorization through quiz-style practice, repeated exposure, and a custom learning flow designed from personal language-learning needs. The project demonstrates practical experience in educational app design, local data management, Android UI development, and end-to-end mobile product publishing.
JavaAndroidAndroid StudioXMLMaterial DesignSQLiteSharedPreferencesGoogle Play ConsoleGit
Demo
In Progress (Selected Projects)
9
Active systems for community building, web infrastructure, and creative technology presentation.
08Advanced Self-Driving AI ModelAI EngineeringIn Progress
AI Engineering
Problem
Building an AI-powered autonomous driving system that combines computer vision, deep learning, and simulation-based testing to perceive road environments, detect critical objects, recognize lanes, and support real-time driving decisions.
My role
AI Engineer, Computer Vision Engineer, Machine Learning Engineer
Result
Developed a self-driving AI prototype capable of analyzing road scenes, detecting vehicles, pedestrians, traffic signs, and lane markings, and generating perception outputs for autonomous navigation. The project highlights applied knowledge in deep learning, real-time computer vision, autonomous vehicle perception, and simulation-driven AI development.
PythonPyTorchOpenCVYOLOCNNsSemantic SegmentationObject DetectionLane DetectionNumPyPandasScikit-learnMatplotlib
Demo
09NovaExchangeWorkshop Website and Organization SystemLeadership / Web / CommunityIn Progress
Leadership / Web / Community
Problem
Building the digital and organizational foundation for a student association around entrepreneurship and investing.
My role
1st Chairperson, website builder, organizer, speaker, networker, moderator, and system builder.
Result
Built structures, organized events, connected with speakers, gave presentations, and helped establish the association.
Node.jsnpmNext.jsReactTailwindFramer MotionChart.jsPrismaVercelNeon
103D Digital Sculpture GalleryCreative TechnologyIn Progress
Creative Technology
Problem
Presenting Blender sculptures and 3D objects in an interactive digital gallery.
My role
3D designer, digital sculptor, and visual creator.
Result
Demonstrates spatial thinking, aesthetics, patience, and creative-technical skill.
BlenderGLB/GLTFmodel-viewerWeb integration
Demo
11AI Model for De Novo Drug Discovery via Large Language ModelsAI EngineeringIn Progress
AI Engineering
Problem
Developing a large language model–driven pipeline for de novo drug discovery by generating novel molecular structures and optimizing them for desired biological and physicochemical properties, reducing the time and cost of early-stage drug design.
My role
AI Engineer, Machine Learning Engineer, Data Scientist
Result
Designing and implementing an end-to-end AI pipeline capable of generating novel molecular candidates, validating chemical structures, and evaluating key molecular properties. The project demonstrates the application of modern generative AI techniques to computational drug discovery workflows.
PyTorchRDKitNumPyPandasScikit-learn
Demo
12Mobile Application Project IMobile DevelopmentIn Progress
Mobile Development
Problem
Developing a mobile-first application focused on improving everyday errands through a clean interface, reliable performance, and practical user-centered functionality.
My role
Android Developer, Mobile App Developer
Result
Currently developing an Android application with a focus on usability, performance, and maintainable mobile architecture. The project demonstrates hands-on experience in native Android development, interface design, local data handling, and iterative product development.
JavaAndroidAndroid StudioXMLMaterial DesignSQLiteSharedPreferencesGit
Demo
13Mobile Application Project IIMobile DevelopmentIn Progress
Mobile Development
Problem
Building a native Android application designed around networking concept, with emphasis on smooth user interaction, structured functionality, and scalable mobile development practices.
My role
Android Developer, Software Developer
Result
Designed and implemented the core structure of an Android application while keeping the product concept private during development. The project highlights experience in native mobile engineering, interface implementation, data persistence, and building user-focused mobile software from the ground up.
JavaAndroidAndroid StudioXMLMaterial DesignSQLiteSharedPreferencesUI/UX DesignGit
Demo
14Scent PredictorAI Engineering / Data ScienceIn Progress
AI Engineering / Data Science
Problem
Developing a machine learning and a deep neural network system that predicts possible scent descriptors from molecular structure data, connecting cheminformatics, molecular representation learning, and human odor perception modeling.
My role
AI Engineer, Machine Learning Engineer, Data Scientist
Result
Currently building an experimental scent prediction pipeline that processes molecular structures, extracts chemical features, and predicts odor-related descriptors using machine learning models. The project explores how AI can model the relationship between molecular structure and human-perceived smell, demonstrating applied work in cheminformatics, molecular AI, and sensory prediction systems.
PythonPyTorchRDKitDeepChemOpenPOMPyrfumeSMILESMolecular FingerprintsMolecular DescriptorsGraph Neural NetworksScikit-learnNumPyPandasMatplotlibJupyter NotebookGit
15Finance Research & Investment Analytics ToolsSoftware DevelopmentIn Progress
Software Development
Problem
Developing data-driven financial tools to support market research, investment analysis, portfolio tracking, and decision-making through automated data collection, analysis, and visualization.
My role
Software Developer, Data Analyst
Result
Designed and implemented financial analysis tools that automate data gathering, clean and process market data, visualize price movements and trends, and support faster, more structured investment research. The project reduces manual research workload and improves the efficiency of tracking financial assets and evaluating investment opportunities.
PythonNumPyPandasScikit-learnPlotlyyFinanceMatplotlibStreamlit
Demo
16Advanced Self Driving AI ModelSoftware DevelopmentIn Progress
Software Development
Problem
Developing data-driven financial tools to support market research, investment analysis, portfolio tracking, and decision-making through automated data collection, analysis, and visualization.
My role
Software Developer, Data Analyst
Result
Designed and implemented financial analysis tools that automate data gathering, clean and process market data, visualize price movements and trends, and support faster, more structured investment research. The project reduces manual research workload and improves the efficiency of tracking financial assets and evaluating investment opportunities.
PythonNumPyPandasScikit-learnPlotlyyFinanceMatplotlibStreamlit
Demo
AI & Data Engineering
AI & Data Engineering
I work on machine-learning models, data-driven systems, and intelligent workflows. I am especially interested in the full lifecycle of AI projects: understanding the problem, preparing data, choosing the right model, evaluating performance, communicating results, and improving the system iteratively.
Working loop / 01—06
- 01
Machine Learning Projects
Practical model development, data preparation, experimentation, and measurable performance improvement.
- 02
Deep Learning Experience
Image segmentation competition work with PyTorch, iterative training, benchmarking, and evaluation.
- 03
Data Analysis & Visualization
Data cleaning, exploratory analysis, plots, reporting, and readable communication of results.
- 04
Model Evaluation
Accuracy, regression metrics, error analysis, and structured comparison between model iterations.
- 05
Current Learning Focus
Full AI project lifecycle: problem framing, data quality, model choice, deployment awareness, and iterative improvement.
- 06
Tools & Frameworks
A growing toolkit across Python-based AI, scientific computing, computer vision, and optimization.
Tools & Frameworks
PythonPandasNumPyScikit-learnSciPyStatsmodelsTensorFlow/KerasPyTorchOpenCVMatplotlibSeabornPlotlyBeautifulSoupGym-OpenAINetworkXOR-Tools
Software Engineering
Software Engineering
I see software engineering as the process of transforming ideas into reliable, usable, and maintainable systems. I enjoy building applications, tools, visualizations, interfaces, and experiments that connect logic with real-world use.
I am comfortable learning new technologies when a project requires them, and I value clean structure, clear naming, modularity, documentation, and practical usability.
Programming Languages
JavaPythonC++C#
Databases and Platforms
SQLMariaDBMongoDBAWS
Applications and Tools
UnityAndroid StudioBlenderAdobe PhotoshopAdobe After EffectsMS Office
Engineering Principles
Clean structureClear namingModularityDocumentationPractical usability
Software Projects
Web appsVisualizationsToolsInterfacesExperiments
Leadership & Community
Leadership & Community Building
Leadership, for me, means building systems where people can collaborate, learn, create, and grow. A strong system should eventually operate without its architect becoming the bottleneck for every decision.
Since March 2025, I have served as the 1st Chairperson of NovaExchangeWorkshop, a student association focused on entrepreneurship and investing. I cofounded NEW with seven people and work on the website, speaker connections, organizational systems, events, network expansion, and presentations in front of audiences.
01
Website development
02
Speaker networking
03
Event organization
04
Organizational system building
05
Public speaking
06
Team coordination
07
Strategic development
08
Presentations
Additional leadership and community signals
- 01ParkRun Braunschweig leadership and organizational support since 2022
- 02Event support for Klasse! Wir singen
- 03Business Training Camp at Bogazici University
- 04Fethiye Rocket Club (FETRON) Vice President
- 05Fethiye Rocket Club (FETRON) Electronics Department Leader
- 06Class honor committee representative
- 07Math club honorary member
Investment Thinking
Investment Thinking
Investing is one of the ways I study uncertainty, incentives, psychology, long-term thinking, and capital allocation. I use this section as a personal investment journal where I document my frameworks, mistakes, reflections, and selected performance metrics.
Disclaimer
The content in this section represents only my personal thoughts, learning process, and analysis. It is not financial advice, not investment advice, and not a recommendation to buy, sell, or hold any financial instrument. Any performance figures are personal tracking metrics and should not be interpreted as audited investment performance.
YTD Return
Personal tracking metric
48%
1-Year Return
Unaudited personal record
94%
Benchmark-YTD
Nasdaq-100
11%
Decision framework
01
My Investment Philosophy
My investment philosophy is based on patience, independent thinking, risk discipline, and continuous learning. I am interested in businesses, market psychology, valuation logic, incentives, and how narratives influence decision-making. I do not want to treat investing as speculation, but as a disciplined process for understanding complex economic systems.
02
Long-Term Thinking
I prefer decisions that can compound through time: knowledge, relationships, judgment, and capital. This makes investing another way to study durable systems.
03
Risk and Uncertainty
Risk is not only volatility. I care about downside, concentration, incentives, information quality, and the limits of my own understanding.
04
Behavioral Psychology
Markets expose human behavior under pressure. I study patience, incentives, bias, narrative, and emotional discipline as part of the process.
05
Business Quality
I am interested in how products, margins, moats, management, culture, and capital allocation shape long-term outcomes.
06
Learning Journal
This section is designed as a transparent record of frameworks, mistakes, reflections, and selected metrics.
Creative Lab
Creative Lab
Creativity is not separate from technology for me. Digital sculpting, 3D object design, image editing, video editing, games, physics, philosophy, mathematics, and robotics all train different forms of thinking.
01
Visual systems
Blender, digital sculpting, 3D object design, image editing, and video editing sharpen spatial reasoning and design judgment.
02
Games as systems
Complex games combine incentives, constraints, optimization, uncertainty, feedback loops, and long-term strategy.
03
Intellectual range
Physics, philosophy, mathematics, and robotics add different lenses for understanding technical and human systems.
Focus areas
Blender Sculptures3D ObjectsImage & Video EditingGamesPhysicsPhilosophyMathematicsRobotics
Hobbies
CodingDigital sculptingBasketballImage and video editingReading booksSolving NP-hard problemsInvestingPhysicsPhilosophyMathematicsRunningRoboticsDesigning 3D objects
Model slot
Digital Sculpture Slot
Placeholder for a Blender sculpture exported as GLB or GLTF.
Model slot
Mechanical Object Slot
Placeholder for a 3D object that demonstrates spatial and mechanical thinking.
Model slot
Experimental Scene Slot
Placeholder for an experimental model, environment, or creative technology study.
Favorite Games
Favorite Games
Games are not only entertainment for me. The best games are complex designed systems. They combine mechanics, constraints, feedback loops, atmosphere, strategy, psychology, storytelling, and long-term decision-making.
01
Doom 2016
Action design / combat loop / speed and aggression
Kill everything that moves
Design lesson: All demons harmed playing this game
02
Doom Eternal
High-speed action / resource optimization / combat chess
Kill everything that moves harder
Design lesson: Such a chill game, isn't it?
03
Battlefield 1
Large-scale systems / team dynamics / historical atmosphere
This game has more attractive athmosphere than other FPS games, and unfortunaltely still does.
Design lesson: Scale becomes powerful when environment, sound, pacing, and teamwork support the same emotional goal.
04
Half-Life
Immersive FPS / environmental storytelling / pacing
I value Half-Life for connecting gameplay, level design, and worldbuilding without constantly interrupting the player.
Design lesson: Immersion is strongest when storytelling is embedded into the system itself.
05
Half-Life 2
Physics-based interaction / world design / narrative systems
I value Half-Life 2 for physics-driven gameplay, environmental storytelling, pacing, and a reactive world.
Design lesson: Technical innovation becomes memorable when it serves player experience.
06
Portal
Puzzle design / spatial reasoning / elegant mechanics
I value Portal because it makes me use my brain more than university does
Design lesson: A simple core mechanic can create deep complexity when designed carefully.
07
Portal 2
Puzzle systems / narrative design / cooperative thinking
I value Portal 2 for expanding a simple idea into a richer system of puzzles, characters, humor, physics, and cooperative problem solving. The cake is a lie
Design lesson: Expansion works best when new mechanics deepen the original idea instead of diluting it.
08
Red Dead Redemption 2
Open world / narrative simulation / human systems
I value it for world detail, character writing, atmosphere, and the feeling that human behavior, environment, and story belong to one living system. I have a goddamn plan -> intensively moving to Tahiti
Design lesson: Emotional depth emerges when world design and character design support each other.
09
The Witcher 3
Role-playing / moral ambiguity / world systems
I value it for writing, quests, worldbuilding, and morally complex decisions that rarely feel purely right or wrong. Vesemir, look how they massacered mah boi
Design lesson: Strong narratives often come from trade-offs, consequences, and ambiguity.
10
Dragon Age: Origins
Role-playing / party systems / tactical decisions
I value it for party dynamics, role-playing depth, tactical combat, and the way background choices affect identity and story.this game has a soul. No other RPG has beaten this GOAT. The taste still lingers. For Ferelden!
Design lesson: Good systems give choices meaning by connecting them to identity, consequence, and strategy.
11
Baldur's Gate 3
Role-playing / systemic freedom / emergent problem solving
I value it for freedom, systemic design, character depth, tactical creativity, and the way it rewards experimentation. Nicer dicer ma bois
Design lesson: Player freedom becomes powerful when the system can respond meaningfully to unusual ideas.
12
Undertale
Meta-narrative / moral systems / emotional design
I value Undertale because it challenges assumptions about combat, morality, player choice, and emotional consequence in games. Don't trust the flower
Design lesson: Small games can become unforgettable when mechanics and meaning are deeply connected.
13
Planescape: Torment
Philosophical RPG / identity / memory / moral consequence
I value Planescape: Torment because it treats role-playing as a philosophical exploration of identity, regret, mortality, and change. Instead of focusing only on combat or power progression, it uses dialogue, memory. What can change the nature of a man? I still ask myself
Design lesson: Great RPGs become unforgettable when choices are not only mechanical branches, but reflections of identity, belief, guilt, and transformation.
14
Fallout: New Vegas
Choice-driven RPG / faction politics / moral ambiguity
I value Fallout: New Vegas because it gives the player meaningful freedom inside a morally complex world. Its faction system, branching quests, dialogue choices, and reputation mechanics create a role-playing experience where decisions feel political, personal, and consequential rather than simply good or evil.
Design lesson: Great RPG design gives players not only choices, but reasons to care about the consequences of those choices.
Writing & Media
Writing & Media
I publish technical and reflective content to document my learning process, explain projects, and share ideas about AI, machine learning, software, investing, and personal development.
01Writing
Medium Articles
Technical and reflective articles about AI, projects, learning, and systems thinking.—02Media
03NetworkAI & Machine Learning Videos
Project videos and learning documentation about machine learning experiments.—LinkedIn Updates
Professional updates, student association work, project progress, and technical milestones.04CreativeCV
Education, practical experience, activities, and skills.
A visual timeline for scanning, followed by grouped skill areas for a more traditional CV view.
Practical Experience
05Since 07.2025
Software / AI Developer, Student Research Assistant
TU Braunschweig HPC
Working on software and AI-related development tasks in an academic high-performance-computing environment.
Since 03.2025
1st Chairperson
NovaExchangeWorkshop
Leading a student association focused on entrepreneurship and investing. Responsibilities include website development, speaker networking, organizational system building, event organization, public speaking, and strategic growth.
04.2024 - 07.2024
AI Internship
TU Braunschweig
Responsible for AI development and team leadership. Developed a weather forecasting model, improved model performance through iterative experimentation, and evaluated performance with strong regression metrics.
04.2024 - 07.2024
Deep Learning Lab
TU Braunschweig
Participated in an AI competition and achieved 3rd place with 72% accuracy. The winning team achieved 76%.
10.2023 - 02.2024
Team Project on Solving NP-Hard Problems
IBR, TU Braunschweig
Worked in a team on algorithmic problem solving, optimization, and computationally difficult problems.
Education
05Since 2026
M.Sc. Informatics
TU Braunschweig
Studying Informatics with interests in Artificial Intelligence, Software Engineering, Data Science, algorithms, and complex systems.
2022 - 2026
B.Sc. Informatics
TU Braunschweig
Studied Informatics with interests in Artificial Intelligence, Software Engineering, Data Science, algorithms, and complex systems.
09.2021 - 07.2022
German Courses
TU Braunschweig
Completed German language preparation up to C1 level for academic study in Germany.
09.2020 - 09.2021
Informatics Studies
Izmir University of Economics
Completed two semesters of Informatics. Average grade: 3.16/4.0, approximately equivalent to 1.8 in the German grading system.
09.2016 - 06.2020
Fethiye Anadolu Lisesi
Graduated with an average grade of 94.58/100, approximately equivalent to 1.3 in the German grading system.
Practical Experience and Activities
14 entries
2023
Business Training Camp
Bogazici University
Participated in business and entrepreneurship training.
2023
Teamwork Workshop
Consult-One, TU Braunschweig
Participated in a workshop focused on teamwork, communication, and collaboration.
Since 2023
Writer on Medium
Publishing articles and reflections about projects, technology, AI, machine learning, and learning.
Since 2022
YouTube Publications about AI and Machine Learning Projects
Publishing videos and project-related content about AI, machine learning, and technical experiments.
Since 2022
ParkRun Braunschweig
Leadership and organizational support in community running events.
06.2023
Organizational Helper
Klasse! Wir singen
08.2022
Event Support
Klasse! Wir singen
07.04.2020
Talk on Quantum Physics for World Chemistry Day
09.2019 - 06.2020
Representative of the Class Honor Committee
09.2019 - 06.2020
Math Club Member
2018
Second Place in Inter-Class Basketball Competition
11.2019 - 06.2020
FETRON Vice President
09.2018 - 11.2019
FETRON Electronics Department Leader
2018
Designed a logo for the tutoring organization Positive Mathe
Skills
Programming
JavaPythonC++C#
Databases & Cloud
SQLMariaDBMongoDBAWS
AI / Data / ML
PandasScikit-learnSciPyStatsmodelsTensorFlow/KerasPyTorchOpenCVNumPyMatplotlibSeabornPlotlyGym-OpenAIBeautifulSoupRDKit
Software / Engineering
Java SwingJava AWTMavenNetworkXOR-Tools
Creative & Applications
UnityAndroid StudioBlenderAdobe PhotoshopAdobe After EffectsMS Office
Contact
Let's build something intelligent.
I am always interested in meaningful conversations around AI, software engineering, data, entrepreneurship, investing, research, and creative technology.
Topics
AI, software, data, investing, student communities, and creative technology.