Dibyo Majumdar
Member Of Technical Staff at Beacon AI
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolDibyo Majumdar is a Member of Technical Staff based in Berkeley with 12 years of experience building product-focused engineering teams and shipping cross-platform systems spanning cloud, robotics, web and iOS. He has guided products through startup-to-acquisition stages and led teams at Gradescope/Turnitin where he drove major integrations, doubled usage during critical periods, and authored hundreds of PRs while improving developer DX. More recently he architected a serverless monorepo AWS infrastructure and introduced a shared JSON-schema types system to streamline multi-repo, multi-language development at Beacon AI. Dibyo combines hands-on implementation—full-stack feature delivery and CI/data pipelines—with people leadership, hiring and mentoring engineers and running technical interviews at scale. He contributes to open-source data-science tooling (enhancing table/pivot functionality) and built a high-use student-facing scheduler for UC Berkeley, showing a knack for practical tools that meet real user needs. He’s seeking more strategic product work with a user-centric lens, grounded in a track record of turning ambiguous problems into shipped value.
12 years of coding experience
11 years of employment as a software developer
Master’s Degree Electrical Engineering and Computer Science, Master’s Degree Electrical Engineering and Computer Science at University of California, Berkeley
Stackoverflow
921reputation
46kreached
1answer
0questions
javascript
top-5%
typescript
top-5%
Github Skills (10)
data-manipulation10
pandas10
python10
tabular10
numpy10
data-analysis10
typescript9
javascript9
testing8
pytest8
Programming languages (8)
Github contributions (5)
data-8/datascience
Aug 2015 - Oct 2015
A Python library for introductory data science
Role in this project:
Data Scientist
Data ScientistContributions:41 commits, 9 PRs, 26 pushes in 2 months
Contributions summary:Dibyo primarily contributed to the `datascience` library by enhancing its table functionality. They refactored the `index_by` function to use `defaultdict`, added support for compound keys in `_fill_with_zeroes`, and augmented the `pivot` function to support multiple rows. The user also added a test case for the expanded `pivot` functionality and refactored variable names for clarity.
python-librarydata-analysispythonsciencedataframes
ucberkeley/sis-qa-test-auto
Sep 2015 - May 2016
Contributions:236 commits, 17 PRs, 2 pushes in 8 months
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