Dibya Das
Quantitative Researcher
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolDibya Das is a quantitative researcher and data scientist with nine years of experience applying mathematics, optimization and deep learning to production problems. Trained at IIT Kharagpur in Integrated M.Sc. Mathematics & Computing, he has built scalable vision pipelines and C++-accelerated Python modules to process gigapixel images and achieve clinical-grade classification performance. At Bidgely he focused on data science in energy applications and now formulates MILP models for inventory optimization at Zepto, bridging rigorous modeling with practical operational constraints. His work consistently emphasizes performance engineering—parallelized pipelines, adaptive windowing for video streams, and storage/query-efficient formats—so models are both accurate and deployable. Based in Bengaluru, he combines research-grade methods with hands-on software engineering to deliver measurable throughput and latency gains.
9 years of coding experience
3 years of employment as a software developer
Integrated M.Sc, Mathematics and Computing, Integrated M.Sc, Mathematics and Computing at Indian Institute of Technology, Kharagpur
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (162)
notebook10
python10
leaderboard10
deep-learning10
gpu10
jupyter10
jupyter-notebook10
machine-learning10
jupyterlab10
in-progress9
sendgrid9
numpy9
codecov9
java-bytecode9
neural-network9
Programming languages (14)
Github contributions (5)
dibyadas/Visualize-Normalizations
May 2018 - May 2018
Images as seen under different normalizations
Contributions:11 commits, 3 pushes, 1 issue in 2 days
image-processingcomputer-vision
dibyadas/read-it
Oct 2017 - Oct 2019
'read' in past tense [Work In Progress]
Contributions:8 commits, 7 PRs, 6 pushes in 2 years
in-progresswork-in-progresspast
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