Machine Learning Engineer | MSc. Graduate (Charles University)
Master Thesis (Charles University & Cisco) - Distilling LLMs for a real-time production email anti-phishing engine.
Real-time visualization and analysis of Swiss train traffic using Apache Spark.
Bachelor Thesis (Charles University & Cisco) - Exploring the NER usability for the email phishing detection task
View Proprietary Industry Projects (Cisco)
Built a modular library for automated labeling and rapid text-based classifier (detector) deployment. The detector developed via this procedure processed 550k+ weekly detections at the time of development.
Developed (some of the) ML-based detectors for the email anti-phishing engine.
Reduced existing ML-based detectors' inference latency for the proprietary email anti-phishing engine, protecting hundreds of millions of emails weekly via PyTorch, ONNX, and CUDA.
"Music of the past" (Archived Projects and Experiments)
Information retrieval - visualizing emails (high-dimensional semantic embeddings) via dimensionality reduction (UMAP, k-means).
High-performance cryptocurrency trading bot (C++) with C# bindings focusing on latency and technical indicators.
Real-time cryptocurrency price alerts for Discord.