Chinmay Chandak
Senior Staff Engineer at NVIDIA
Pune, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolChinmay Chandak is a Senior Staff Engineer at NVIDIA with 7 years of experience building GPU-accelerated data platforms and streaming systems that process millions of events per second. He helped create cuStreamz—the world’s first GPU-accelerated streaming library used in production for GeForce Now—and now leads initiatives to simplify ingestion, compute, and AI on NVIDIA’s Data Platform. Chinmay combines deep systems and streaming expertise (Kafka integrations, client-side rate limiting) with hands-on open-source contributions to projects like python-streamz and cuDF, improving core Kafka handling and testing for GPU DataFrame workflows. Trained at IIT Hyderabad and UCLA, he blends academic rigor with production engineering and a knack for making complex GPU data pipelines easier to adopt.
7 years of coding experience
7 years of employment as a software developer
B.Tech., Computer Science and Engineering, B.Tech., Computer Science and Engineering at Indian Institute of Technology HyderabadI.C.S.E, I.C.S.E at The Bishop's School , PuneHigh School (H.S.C), Science, High School (H.S.C), Science at S.P. College, PuneUniversity of California, Los Angeles
English, Hindi, Marathi
Github Skills (11)
data-analysis10
dataframes10
cudf10
kafka10
realtime10
python10
data-science10
dataframe10
streaming-data10
testing10
async9
Programming languages (10)
Github contributions (5)
python-streamz/streamz
Sep 2019 - Oct 2020
Real-time stream processing for python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 reviews, 145 commits, 26 PRs in 1 year 1 month
Contributions summary:Chinmay primarily focused on enhancing the Kafka integration within the stream processing library. They improved the handling of message keys and values, ensuring correct tuple formation for Kafka messages. Further contributions included updating and expanding Kafka tests to incorporate message keys and implementing a mechanism to make extracting Kafka keys optional. These changes point to core improvements for data streaming through Kafka.
stream-processingpythonstreaming-datareal-time-stream-processingdata-stream
rapidsai/cudf
Aug 2019 - Aug 2020
cuDF - GPU DataFrame Library
Role in this project:Data Scientist
Data ScientistContributions:4 reviews, 11 commits, 2 PRs in 1 year
Contributions summary:Chinmay contributed to the `custreamz` component, adding tests for SDF initial states, which indicates involvement in the data processing and analysis functionality. They updated build scripts and modified existing tests, suggesting they were working with the integration and testing of the data frame library cuDF. The user's changes also included code formatting using tools like black and isort, and adding NVIDIA copyright information.
cudadataframe-librarydata-analysiscppcudf
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