Summary
Chris Darakjian is an AI/ML engineer with a decade of multidisciplinary experience building production-grade machine learning systems, backend microservices, and full-stack applications across government and commercial sectors. He blends deep scientific training (M.S. in Computational/Analytical Chemistry) with hands-on skills in Python, C++, PyTorch, LLMs, Kubernetes, and AWS, and holds Top Secret/SCI clearance—an uncommon combination that enables work on sensitive, high-impact projects. Chris has moved between roles as a data scientist, blockchain and backend engineer, and educator, demonstrating an ability to translate research-grade methods into deployable services and scalable pipelines. He’s delivered OCR/PDF extraction, performant C++ analytics, and LLM scripting for classified customers, and also led web and blockchain efforts at enterprise scale. Based in Washington, D.C., he brings both laboratory rigor and production engineering discipline to AI systems that must be reliable, efficient, and secure.
10 years of coding experience
10 years of employment as a software developer
M.S. Chemistry (Computational / Analytical Emphasis) • June 2015, M.S. Chemistry (Computational / Analytical Emphasis) • June 2015 at California State University, Los Angeles
B.S. Biochemistry (Minor in Business Admin), B.S. Biochemistry (Minor in Business Admin) at University of California, Riverside