Santhosh Kumar
Technical Specialist at Zensar Technologies
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolSanthosh Kumar is a technical specialist and senior ML engineer with eight years of experience building MLOps-driven data and ML systems, currently based in Bengaluru. He has led end-to-end ML and data engineering efforts—from high-accuracy document extraction pipelines and centralized feature stores to real-time scoring platforms and fraud detection models—delivering measurable production impact. Comfortable across cloud-native stacks, Santhosh has extensive hands-on experience with AWS SageMaker, Docker, Kubernetes, Lambda and CI/CD to operationalize models and automate deployments. His background in environmental engineering and early work on flood-risk modeling give him unusual strength in quantitative modeling, geospatial data and signal extraction from noisy sources. Known for combining rigorous experimentation (96%+ task accuracies) with pragmatic MLOps practices, he balances research-quality models with production reliability. He currently drives technical initiatives at Zensar after prior senior roles at Lendingkart and Quantiphi.
8 years of coding experience
5 years of employment as a software developer
Master's Degree Water Resources and Enivironmental Engineering, Master's Degree Water Resources and Enivironmental Engineering at Indian Institute of Science (IISc)P.U.C Science, P.U.C Science at Kittel Science CollegeS.S.L.C, S.S.L.C at Little Flower English Medium SchoolBachelor of Technology Agricultural Engineering, Bachelor of Technology Agricultural Engineering at University of Agricultural sciences
English, Kannada, Hindi, Telugu
Github Skills (40)
beam-search9
flask-application9
download-manager9
jquery8
bleu8
firefox8
linux8
java8
chrome8
encoder-decoder8
streaming-video8
describe8
web-application7
attention-mechanism7
windows7
Programming languages (4)
Github contributions (5)
Skumarr53/Image-Caption-Generation-using-Fastai
May 2020 - Oct 2020
Implemented image caption generation method propossed in Show, Attend, and Tell paper using the Fastai framework to describe the content of images. Achieved 24 BLEU score for Beam search size of 5. Designed a Web application for model deployment using the Flask framework.
Contributions:1 review, 17 commits, 1 PR in 5 months
pythonbeammodel-deploymentflaskflask-framework
Skumarr53/Stock-Fundamental-data-scraping-and-analysis
Jul 2019 - Mar 2021
Contributions:30 commits, 29 pushes, 1 branch in 1 year 8 months
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