I'm a Computer Science student and software engineer (BSc CS @ Maastricht University). I recently wrapped up a role as an AI Developer at Oraspire and am currently focused on building highly constrained, math-heavy systems across Machine Learning, Quantitative Finance, Operations Research, and Systems Enginerring.
- BSc Thesis: Developing a Python framework for streaming signal decomposition on real-time data under tight memory/latency constraints.
- Quant Project: Building a Limit Order Book (LOB) simulator to model market microstructure, comparing execution strategies using a game-theoretic framework.
- Wrapping up Game Theory (Stanford) to formalize strategic decision-making in markets and systems (having recently completed Micro/Macro/Business Econ coursework).
- Prepping for upcoming deep dives into Industrial Optimizers (MILP/Heuristics) and GCP MLOps.
- Healthchain Access Control: Built a decentralized, consent-driven access-control stack (Solidity/Hardhat) for patient healthcare data with large-scale automated simulation tooling.
- Transitor Routing Engine: Developed a Java-based public transport routing engine integrating GTFS datasets to compute optimal transit routes and accessibility metrics.
- Modular AI Tutor: Engineered a real-time hint-generation system for robotics students with strict GDPR privacy compliance and performance analytics.
- Languages: Python, Java, C, SQL/NoSQL, Solidity, JavaScript/TypeScript
- ML & Data Science: PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn
- Systems & Tools: Git, Linux, Hardhat, Express, JUnit, Pytest
- Concepts: Time-Series Analysis, Applied Optimization, Smart Contracts, Real-Time Streaming
- LinkedIn: linkedin.com/in/sachaloeb
- Portfolio: Check out my pinned repositories below for code samples, benchmark reports, and system architectures.