Chinmay Chandak

Software Engineer

Pune, Maharashtra, India7 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in GPU-accelerated data processing.
Core developer of innovative streaming solutions.
Strong background in data platform architecture.

Stackforce AI infers this person is a SaaS expert specializing in GPU-accelerated data processing and streaming technologies.

Contact

Skills

Core Skills

Data Platform DevelopmentStream ProcessingStreaming Library DevelopmentRate LimitingKafka

About

GPU-accelerated Streaming for Big Data @ Scale!

Experience

7 yrs 6 mos

Total Experience

3 yrs 9 mos

Average Tenure

7 yrs 3 mos

Current Experience

Nvidia

5 roles

Senior Staff Engineer

Promoted

Mar 2026 – Present · 2 mos

Driving a bunch of initiatives to make NVIDIA's Data Platform easy to use for ingestion, compute, AI, governance, etc.

Staff Software Engineer

Jun 2023 – Mar 2026 · 2 yrs 9 mos

Still working on building the world's first GPU-accelerated Data Platform at NVIDIA capable of processing millions of events/sec.
Focussing on onboarding, data ingestion & stream processing side of things.

Senior Software Engineer

Nov 2021 – Jun 2023 · 1 yr 7 mos

Working on building the world's first GPU-accelerated Data Platform at NVIDIA capable of processing millions of events/sec.
Focussing on the data ingestion and stream processing side of things.

Senior Software Engineer

Promoted

Jun 2021 – Nov 2021 · 5 mos

Working on building the world's first GPU-accelerated Data Platform at NVIDIA capable of processing millions of events/sec.
Focussing on the Streaming side of things.

Software Engineer

Mar 2019 – Jun 2021 · 2 yrs 3 mos

Core Developer of cuStreamz, the world's first GPU-accelerated Streaming Library @ Scale: https://medium.com/rapids-ai/gpu-accelerated-stream-processing-with-rapids-f2b725696a61
cuStreamz currently GPU-accelerates streaming workloads at scale in production for GeForce Now, NVIDIA's Cloud Gaming service.

Software Engineer Intern

Jun 2018 – Sep 2018 · 3 mos · United States

Worked with the Kafka team at LinkedIn.
Designed and implemented a client-based rate-limiting library for Apache Kafka and Apache Samza.
The library supported the following features: core rate-limiting logic (a Token Bucket variant), load-balancing across clients, and a prefetch optimization to allow the system to service requests with even lower latency.

Indian institute of technology, hyderabad

Undergraduate Teaching Assistant

Jan 2017 – May 2017 · 4 mos · Greater Hyderabad Area

Advanced Operating Systems (Supervisors: Dr. Sathya Peri, Dr. Sparsh Mittal)
Designed assignments (both theory and coding) and test cases to evaluate submissions.

The university of tokyo

Research Intern

May 2016 – Jul 2016 · 2 mos · Tokyo, Japan

Among the 10 students chosen by the India-Japan Education Program as a Research Scholar.
Worked with the Software Verification & Programming Languages Lab (Supervisor: Dr. Naoki Kobayashi).
Designed and implemented the Store-Passing Style Transformation in OCaml, and thereby, a compiler converting MoCHi’s (Model Checker for Higher-Order Programs) benchmarks-with-references to benchmarks-without-references.
MoCHi: http://www-kb.is.s.u-tokyo.ac.jp/~ryosuke/mochi/, https://github.com/hopv/mochi