CV

A downloadable PDF is available: Harsh Agrawal Resume.

Education

• M.S. in Computer Science, Northeastern University
• B.Tech in Computer Engineering, NMIMS, Mumbai

Work experience

• Sept 2025 – Present: Software Engineer, AI Infrastructure
  • LinkedIn, Sunnyvale
  • Model metadata registry as source of truth (25K+ models / 125K+ versions, zero downtime)
  • Model publishing & EU AI Act compliance (gRPC)
  • LLM-agent compliance automation (week+ → under a day)
  • Data-integrity tooling across millions of metadata records
• Prior: Software Engineer — Generative AI
  • Calfus
  • Agent Foundry, Temporal workflows, Kubernetes, GPU autoscaling
• Prior: Machine Learning Engineer
  • BulkMagic
  • Recommender training/serving on Spark, Airflow, Kubernetes (~40% latency reduction, ~25% deal uptake)
• Fall 2023: Data Science Co-op
  • Amazon Robotics
  • Downtime monitoring (AWS Lambda, Athena); ticket triage automation

Skills

• Platform & systems: model registries & metadata SoT, publishing/compliance pipelines, gRPC, distributed data integrity, Temporal
• Compute & data: Kubernetes, GPU autoscaling, Spark, Airflow, AWS
• Languages & tooling: Python, LLM agents, gRPC / service APIs, SQL

Publications

• See Google Scholar