Anurag Sarmah
Data Engineer
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolAnurag Sarmah is a Data Engineer with 11 years of experience building robust ingestion and feature pipelines that support ML, quant, and risk teams at firms like Morgan Stanley and Amazon. He combines strong programming and statistical foundations with hands-on expertise in Python, SQL, pipeline tuning, and tooling such as Tableau, Power BI and Jupyter to drive production-ready data solutions and cost-optimized cloud performance. His background spans the full data lifecycle—from Kofax-driven web scraping and large-scale annotation work at Waymo to automating metadata enrichment and compliance-sensitive pipelines for regulated environments. Anurag is also an active open-source contributor, having implemented classic algorithms and dynamic programming solutions in the widely used OpenGenus cosmos dataset, showing a continued appetite for algorithmic rigor. Based in Mumbai, he communicates complex technical concepts to stakeholders across technical and executive levels and focuses on delivering measurable business impact through cleaner, validated data for ML.
11 years of coding experience
1 year of employment as a software developer
Master of Computer Applications - MCA Computer and Information Sciences , Master of Computer Applications - MCA Computer and Information Sciences at Cotton University
English, Hindi, Assamese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
algorithm10
data-structures10
javas10
algorithms10
dynamic-programming10
data-structure10
java10
sorting-algorithms10
Programming languages (11)
Github contributions (5)
OpenGenus/cosmos
Oct 2017 - Oct 2017
World's largest Contributor driven code dataset | Used in Quark Search Engine, @OpenGenus IQ, OpenGenus Visual Project
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 3 PRs, 2 comments in 1 day
Contributions summary:Anurag primarily contributed to the `cosmos` repository by implementing various sorting algorithms and a dynamic programming solution. Their work involved creating Java classes for Quicksort, InsertionSort, and SelectionSort, demonstrating proficiency in algorithmic implementation. Furthermore, the user implemented solutions for the Longest Common Subsequence problem using both recursive and dynamic programming approaches.
datastructuresinternshipcontributordatasetopengenus
aedorado/learning-flutter
Apr 2021 - May 2021
Learning Flutter
Contributions:6 releases, 36 commits, 2 PRs in 26 days
flutterdart
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.