Archan Das is a software engineer with a decade of hands-on experience building production ML and infrastructure systems, currently focused on AI in aviation at Archer. A Carnegie Mellon computer science graduate, he has shipped MLOps and scalable cloud infrastructure across startups and enterprises—from sales AI pipelines for Fortune 500 clients to observability and bare-metal reliability for cancer-prediction models. He combines backend engineering, Terraform/Kubernetes-driven deployment, and Python-centric ML tooling to move prototypes into reliable production. Previously he automated workflows that replaced full-time manual processes and built core tooling to accelerate ML teams, demonstrating a strong bias for automating tedious work. Based in Mountain View, he’s actively interested in plagiarism detection and other ML engineering challenges and enjoys collaborating on interdisciplinary projects.
11 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Carnegie Mellon University
High School Diploma Regular/General High School/Secondary Diploma Program, High School Diploma Regular/General High School/Secondary Diploma Program at Illinois Mathematics and Science Academy
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