Software engineer and ex-PhD candidate in Computer Science (TU Delft), defense date TBA, and background in Electrical Engineering.
🔧 Deep Learning Library - Building a computational graph framework in C++ with Python bindings
⚡ Performance Optimization - CUDA kernels, algorithmic optimization
🧠 Active Learning Systems - Research on state machine learning and surrogate models for language models
Languages: C++, Python, C# Focus Areas/Areas of Interest: ML systems, performance optimization Current Learning: CUDA, MLOps Tools: Git, CMake
PhD candidate in Computer Science (2020-2025) at TU Delft Cyber-Analytics Lab
- 4 first-author publications on statistical inference of state machines, one under review, see my homepage
- Core developer of Flexfringe active learning library