Experience

Independent AI Researcher   (2024 - present)

Conduct self-directed research on optimization, reinforcement learning, memory, and training dynamics. Current work includes developing a Muon-based optimizer for GRPO-style reinforcement learning and extending olmo-core with Engram conditional memory. ››

Industry Experience

Principal Data Scientist — Technology Startup

Develop computer-vision systems for extracting structured intelligence from aerial imagery. Lead ambiguous R&D problems from problem formulation and data strategy through model development, evaluation, and production-oriented workflows.

Senior Machine Learning Engineer — 3D Vision R&D

Joined a 3D perception SDK team as its first hire and took the product from zero to alpha release. Designed model-training, inference, packaging, and deployment workflows for LiDAR-based object detection.

Data Science Technical Lead — Consulting Startup

Led quantitative modeling projects for energy and utilities clients. Established reproducible workflows, translated business and regulatory questions into analytical systems, and mentored junior analysts.

Senior Quantitative Analyst — Energy & Utilities

Developed models for electricity trading, pricing, and renewable-investment strategy. Connected policy, regulation, market behavior, and mathematics to support major infrastructure decisions.

Education & Foundations

• PhD in Applied Mathematics (Dual Degree with MS in Statistics), Michigan State University

• Master Certificate in Strategic Organizational Leadership & Management, Michigan State University