Summary
Akash Gupta is a Sr. Applied AI/ML Engineer with 10 years of experience building production-grade software and machine learning systems, now based in Mumbai and working at JPMorgan Chase. He has driven end-to-end ML pipelines and microservices—designing Ray-based distributed processing, MLflow experiment tracking, and FastAPI ML endpoints—while optimizing performance with Faiss-based ANN and DistilBERT transfer learning for topic classification. Previously at EdCast he led the Skills Exchange service in Golang and migrated legacy ML stacks (Flask, Python, Ray) to more scalable, secure platforms. He pairs backend engineering depth (Go, Ruby on Rails, React) with practical MLOps know-how, having fixed data-collection crawlers, upgraded runtimes for security, and improved model-serving observability. Akash holds a Master’s in Computer Science from Georgia Tech and brings a hands-on culture of tech debt reduction and measurable performance improvements. An uncommon strength is his track record of shipping both mobile/consumer apps and heavy ML infra, bridging product-focused development with scalable ML ops.
10 years of coding experience
9 years of employment as a software developer
Engineer’s Degree Computer Engineering, Engineer’s Degree Computer Engineering at SIES Graduate School Of Technology
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology