Mukesh Thawani is a software engineer with 11 years of experience specializing in backend systems and applied NLP, focused on building high-performance, production-ready services. He has led delivery of sub-100ms microservices, a message-clustering platform using UMAP and HDBSCAN, and a Flask-based information retrieval stack leveraging vector DBs and LLMs to improve accuracy. Comfortable across the PLG stack, REST APIs, and messaging SDKs, he pairs strong Python and JavaScript skills with cloud-native tooling (AWS/GCP, Docker, Prometheus, Grafana) and both relational and NoSQL databases. Mukesh emphasizes collaboration, feedback-driven development, and pragmatic adoption of new technologies to drive measurable product and performance gains. Based in Bengaluru, he combines academic grounding from Georgia Tech with a practical record of optimizing latency and retrieval quality in real-world systems.
Contributions:13 commits, 6 PRs, 14 pushes in 9 months
apipythonstockstock-api
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