About
AI research engineer and applied mathematician who combines deep technical investigation with hands-on execution — studying model architectures, training dynamics, memory, and distributed systems through first-principles experiments. »
Experience
Experience taking ambiguous AI problems from zero to one: framing the question, building the system, running the experiments, and carrying the work through to practical results. »
Projects
Research engineering at training scale — developing new optimization methods for GRPO-style RL and integrating conditional memory into OLMo to study its interaction with different model architectures. »
Writing
Bridging theory and practice — reverse-engineering papers, unpacking architectures, and explaining complex AI systems clearly. »
Services
Advisory and consulting for startups, enterprises, and researchers — from architecture reviews to AI systems design and optimization. »