Summary
Abhishek Munagekar is a software engineer with nine years of experience building end-to-end ML, search, and backend platforms that operate at millions of requests per day. He specializes in making AI production-ready—designing training platforms, serving infrastructure, and high-throughput ingestion and semantic search pipelines that are scalable and highly available. His recent work includes enabling Metaflow on Kubernetes/ArgoWorkflows and running a 300+ node self-hosted Elasticsearch fleet serving ~20k RPS with zero-downtime upgrades. He has a strong SRE and platform mindset, having reduced latencies (p50/p90) dramatically and cut costs by orders of magnitude for critical marketplace services. Comfortable across Python, Go, and Kubernetes ecosystems, he bridges ML research and production engineering to improve CTR, reliability, and observability. Based in the UAE, he pairs hands-on engineering with on-call experience, middleware for distributed tracing, and a track record of migrating and modernizing search/ML infrastructure.
9 years of coding experience
6 years of employment as a software developer
12th Science, 12th Science at Fergusson College
10th General Studies, 10th General Studies at DAV Public School, Aundh
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Pune Institute of Computer Technology
English, Marathi, Hindi, Japanese