Summary
Abel Yagubyan is a Senior Data Scientist with seven years of experience building machine learning, distributed systems, and database solutions, grounded in a BS in Computer Science & Applied Mathematics from UC Berkeley and an MSCS in Machine Learning from Northwestern. He blends hands-on research—contributing UPC++ performance benchmarking at Lawrence Berkeley Lab and GPU-accelerated RL research—with product-focused startup leadership as co-founder of FibonAI, an AI platform transforming in-house legal workflows. At C3 AI he progressed from Data Scientist to Senior Data Scientist, applying enterprise AI at scale while retaining a maker’s fluency in systems programming, Dockerized services, and model deployment. His past projects include an interactive RISC-V compiler for PrairieLearn and an ML classifier for astronomical transients, showing a knack for translating research prototypes into production-capable tools. Based in Redwood City, he combines academic rigor with entrepreneurial grit and a practical focus on measurable impact in regulated domains like legal tech.
7 years of coding experience
7 years of employment as a software developer
Bachelor's degree Computer Science and Applied Mathematics, Bachelor's degree Computer Science and Applied Mathematics at University of California, Berkeley
Master of Science - MS Computer Science - Machine Learning, Master of Science - MS Computer Science - Machine Learning at Northwestern University
IGCSE Diploma CIE A-level Diploma Graduate, IGCSE Diploma CIE A-level Diploma Graduate at GEMS Education
Armenian, English, Russian, Arabic, French