Summary
Deepak Nagaraj is a Senior Software Engineer with 12 years of experience building systems software, large-scale data pipelines, and ML infrastructure for startups and enterprise teams. He has led AI infrastructure and production ML deployments—owning ingestion, semantic search, model serving, and GPU capacity planning—at Primer.ai and now contributes to Baseten’s platform in Mountain View. His background spans low-level systems (C, FreeBSD, embedded networking) to distributed data stacks (Spark, Kafka, Elasticsearch, Postgres) and modern LLM work (RAG, fine-tuning, Triton inference). Deepak has a track record of operationalizing research into secure, standards-compliant deployments (including IL-5 environments) and cutting costs while improving ML execution efficiency. He pairs deep technical breadth with hands-on engineering leadership, having coached teams and driven architecture pivots across multiple stages of product maturity. A Berkeley MIDS graduate who began his career in networking appliances, he brings an uncommon blend of kernel- and cloud-era experience to ML platform challenges.
12 years of coding experience
20 years of employment as a software developer
Master of Information and Data Science, Master of Information and Data Science at University of California, Berkeley
B.E. Computer Science and Engineering, B.E. Computer Science and Engineering at Visvesvaraya Technological University
M.S. Computer Science and Engineering, M.S. Computer Science and Engineering at The Ohio State University