Projects & Open Source
Work on model post-training, security analytics, and applied machine learning, alongside earlier projects and open-source experiments.
- Let Execution Do the Teaching
Execution-based post-training experiments for code models: supervised fine-tuning, GRPO reward pipelines, and reproducible C++ evaluations with test feedback.
- Supervisory Analytics for SOC Assessment
A supervisory analytics project focused on assessing Security Operations Centre (SOC) operations.
- VaporWall
A Rust network-security project combining eBPF/XDP packet filtering with asynchronous TCP stream analysis and local ONNX threat classification.
- Fraud Radar — Real-Time Fraud Detection
A transaction anomaly-detection pipeline using Isolation Forest, Kafka streaming, and a FastAPI service with live WebSocket updates. Includes synthetic data generation and Docker Compose orchestration.
- Comment Toxicity Classifier
A neural network for classifying toxic comments, with experiments in Jupyter notebooks.
- AI Guide
An LLM-powered tutoring platform built with TypeScript.
- Guide AI Dictionary
An AI-powered agent for working with data dictionaries.
More code and experiments on GitHub.
