Software Developer | Educator | Musician

I am a passionate software developer, an academic, a teacher, and a pianist. I instruct students in Computer Science, Software Engineering, Cyber Security, and AI. I am currently studying Molecular Biology alongside Data Science and AI at university.

Fun Fact: In my native language, my name means Seagull 🪽. It’s a known first name where I live, and I love the connection to the sea and sky!

I am constantly exploring new domains, but I am most deeply interested in:

• AI & Optimization: Data Science, Machine Learning, Deep Learning, Genetic Algorithms, and Neuro-Evolution.
• Molecular Bio-Chemistry & Quantum Computation
• Finance & Quant: Quantitative Programming and High-Frequency trading systems based on Data and ML.
• Cyber Security: Networking, cryptography, remote telemetry, device forensics, and data security.

I have taught and currently teach a variety of advanced topics, including:

• Programming: Python | C#
• Core CS: Data Structures & Algorithms | Formal Languages & Theory of Computation
• Security & Systems: Networking, Cyber-Security, & Cryptography
• AI & Hardware: Deep Learning/Neural Networks | Control Systems & Robotics | Numerical Systems & Electronics

• Languages:
• Data & Vision: Pandas | NumPy | OpenCV
• Machine Learning: TensorFlow | Keras | PyTorch | Scikit-Learn
• Networking: FastAPI | Uvicorn | Socket | HTMX | Scapy | WireShark
• Finance & Crypto: yfinance | TA-Lib | pandas-ta | ccxt
• GUI Development: Flutter/Flet

Here is a selection of projects I've built or am currently developing:

• High-Frequency ML-based Price direction Prediction: a real-time framework for producing and running Crypto price direction classification units, as well as serving and recording this data efficiently.
• Real-Time Crypto Arbitrage Engine: A low-memory, asynchronous framework for screening, recording, and modeling cryptocurrency data. It manages high-level trade chain representations and features an active arbitrage engine.

• Remote Orchestration & Automation Engine: A dynamic and secure system for controlling secondary computers. Features include encapsulated shared memory, parallel/sequential command execution, memory manipulation, and remote shell execution.
• Browser Forensics Library: A Python library for securely extracting, decrypting, and collecting sensitive local database data from all major web browsers across Windows, Linux, and macOS.
• Autonomous Infectious EXE: A command-line tool for programmatically binding multiple files into a single executable that can run custom commands, and embed itself in other executable files.

• Texas-Hold'em Probability Engine: A full game framework featuring a highly efficient math engine to compute outcomes and success probabilities at any stage. Includes computer vision for card detection and seamless web API integration.
• ALPR System: Automatic License Plate Recognition and extraction powered by Machine Learning.
• 3D Photogrammetry Wrapper: A Python wrapper for AliceVision's Meshroom that automates the generation of 3D models from 2D source images.

• Python Video Editor: A fully functional video and audio editing framework allowing for programmatic loading, cutting, merging, replacing, and saving of media files.