Anil Kumar is a Chief Engineer at Samsung R&D with a decade of experience building end-to-end products that blend machine learning and large-scale data engineering. He has led production ML and graph ML initiatives, moving models from research to robust systems while improving data pipeline performance and drift detection in enterprise settings. Prior roles at Deloitte and Accenture highlight hands-on work with open-source LLMs (Llama2, Mixtral), vector databases, and Databricks/Spark optimizations that delivered measurable speedups and automation. His background includes healthcare-focused deep learning for readmission prediction and practical web development early in his career, reflecting a strong full-stack foundation. An MTech in Data Science from BITS Pilani complements his practical expertise, and he often bridges product, research, and engineering to ship impactful ML-driven features. Colleagues describe him as an execution-oriented engineer who brings research-grade models into production under real-world constraints.
10 years of coding experience
5 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Bachelor of Technology - BTech Communication and Computer Engineering (CCE), Bachelor of Technology - BTech Communication and Computer Engineering (CCE) at The LNM Institute of Information Technology
A sample python app implemented via Travis CI, Docker, and Heroku
Contributions:2 reviews, 9 PRs, 28 pushes in 3 years 4 months
herokupythonpython-appflaskdocker
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Anil Kumar - Chief Engineer at Samsung Electronics