Somnath Sarkar
SDE, AGI Labs at Amazon
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolSomnath Sarkar is a seasoned software engineer with 11 years of experience building production-grade AI and data systems, currently working as an SDE in AGI Labs at Amazon in Boston. His Amazon tenure spans AI algorithms for SageMaker, advertising systems, and financial intelligence, demonstrating a track record of taking research-grade models and analytics into large-scale production. Trained in statistics and operations research (IIT Kharagpur; Columbia Engineering), he blends rigorous quantitative thinking with pragmatic engineering. Prior roles in finance and real-estate tech (Goldman Sachs, Honest Buildings) give him a deep appreciation for high-stakes, data-driven decision-making. Colleagues rely on him to bridge model development and robust service engineering, shipping scalable ML infrastructure under tight constraints. He’s comfortable navigating both research environments and commodity cloud production, often surfacing subtle trade-offs between model fidelity and operational cost.
11 years of coding experience
8 years of employment as a software developer
MS, Operations Research, MS, Operations Research at Columbia EngineeringFive Year Integrated MSc, Statistics and Informatics, Five Year Integrated MSc, Statistics and Informatics at Indian Institute of Technology, Kharagpur
Github Skills (20)
python10
machine-learning-models10
jupyter10
data-science10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
aws10
jupyter-notebook10
amazon10
scala5
Programming languages (3)
Github contributions (5)
SomnathSI/personal-site
Sep 2020 - May 2022
Contributions:7 pushes in 1 year 7 months
SomnathSI/DataScience
Dec 2015 - Mar 2016
Contributions:14 PRs, 24 pushes, 2 branches in 3 months
pythonpython3python-scripts
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