Anupam Misra is a seasoned ML engineer specializing in MLOps, currently an Associate Consultant-MLOps at Eli Lilly, based in Bengaluru, with 9 years of experience. He combines hands-on machine learning with production-grade deployment across Azure, AWS, and c3.ai, supported by a strong full-stack skill set (Python, SQL, Java, C++, HTML, CSS, R). At PwC India, he built an MLOps platform powering around 470 live models across 20+ oil and gas sites and led agile releases while mentoring interns. Earlier, at Reliance Industries, he led dashboards and reliability initiatives for 130 MW of equipment and managed SAP-based PR/PO planning, illustrating cross-domain leadership alongside his ML work; he also delivered HR analytics apps with high-performing attrition models. He holds a B.Tech in Electrical and Electronics Engineering from Manipal Institute of Technology and a Praxis Business School PGP in Data Science, underscoring a strong foundation in engineering and data-driven decision making.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, 8.59, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, 8.59 at Manipal Institute of Technology
PGP Data Science, Data science, 90.84%, PGP Data Science, Data science, 90.84% at Praxis Business School
High school, Science, ISC-92% ICSE-90%, High school, Science, ISC-92% ICSE-90% at St. Patrick's H.S. School, Asansol
First end-to-end MLOps attempt using github actions and AzureML Python SDK v2.
Contributions:255 commits, 4 PRs, 240 pushes in 1 month
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