Machine learning engineer and data scientist specializing in production ML, time series modeling, agentic AI, statistical experimentation, and full-stack technical systems.
Deep technical projects spanning quantitative research infrastructure, AI research systems, and production machine learning.
Taken Group LLC
A modular financial machine-learning research platform for dataset construction, statistical calibration, event-driven sampling, feature generation, experiment persistence, model research, and leakage-aware evaluation.
A quantitative research copilot combining codebase intelligence, literature retrieval, hybrid search, cross-encoder reranking, MCP tooling, task routing, and a dedicated evaluation framework.
Designed and deployed a 2D CNN inference workflow in Dockerized Python services on Azure for real time industrial state classification, improving prediction accuracy from 77% to 98%. Proprietary implementation details and operational data are omitted.