ML/CV engineer working on the path from research to deployment: evaluate models, adapt them to real constraints, and get them running on hardware.
Currently working in autonomous driving / embedded vision. Previously worked on healthcare ML and edge deployment.
- Computer vision and edge deployment
- ML systems and embedded inference
- Robotics-adjacent projects
- Rust tooling and CLI/MCP integrations
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🗣️ yapcap
COSMIC panel applet showing local usage limits for Codex, Claude Code, and Cursor. -
🧠 nd-cnn-from-scratch
From-scratch N-dimensional CNN, pooling, and backpropagation in Python. -
🤖 Cuber
Rubik's cube solving robot with Android, desktop, and Arduino components. -
🔐 diplomaterv
Award-winning master's thesis on privacy risks in face recognition embeddings. -
🔌 USRT
UART peripheral in Verilog with an APB bus interface and simulation assets. -
🧮 numper
Small expression calculator in C with infix parsing and postfix evaluation.
- Quantization and edge deployment for modern vision models
- Hardware-aware ML workflows
- Practical MCP / agent-facing tools
- Deep Learning Engineer working on autonomous driving / embedded vision
- Previously worked on healthcare ML and edge deployment at Vitarex
- MSc thesis won Information Security Thesis of the Year 2022
