Machine learning engineering from research to production.
Machine learning engineer and data scientist specializing in production ML, time series modeling, agentic AI, statistical experimentation, and full-stack technical systems.
Selected engineering systems
Deep technical projects spanning quantitative research infrastructure, AI research systems, and production machine learning.
Quantitative ML Research Platform
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.
AI Research & Codebase Intelligence
Agentic Research Platform
A quantitative ML research copilot connecting literature to code through hybrid retrieval and LangGraph orchestration with optional reranking and a dedicated evaluation harness.
Production ML for Real Time Industrial Classification
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.