About
PhD in Applied Math + MS in Statistics. Full-stack AI researcher exploring model architectures, optimizers, and distributed systems from first principles — bridging math, code, and design. »
Experience
T-shaped career across enterprise, startups, and independent research — from quant finance to deep learning and distributed training. »
Projects
Hands-on experiments in attention, optimizers, and scaling laws — from scratch-built Transformers to Muon and FSDP explorations. »
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. »