Sumit Bhattacharya
Senior Software Engineering Manager at NVIDIA
Pune, Maharashtra, India
Summary
🤩
Rockstar🎓
Top SchoolSumit Bhattacharya is a Senior Software Engineering Manager at NVIDIA with 15 years of experience building system software and leading teams in conversational AI and platform engineering. He progressed through technical leadership roles at NVIDIA—from senior system engineer to principal and now manager—bringing deep expertise in low-level systems, performance optimization, and AI-driven features. Educated at IIT Kharagpur (MTech) and Jadavpur University (BE), he combines rigorous academic foundations with long-term product delivery in a fast-evolving AI hardware/software stack. Known for translating complex system requirements into pragmatic engineering roadmaps, he pairs hands-on technical judgment with mentoring and cross-functional collaboration. An understated strength is his continuity at a single innovator—over a decade at NVIDIA—indicating both deep institutional knowledge and adaptability as the company’s AI priorities have evolved.
15 years of coding experience
13 years of employment as a software developer
Bachelor of Engineering (BE), Instrumentation and electronics engineering, Bachelor of Engineering (BE), Instrumentation and electronics engineering at Jadavpur UniversityMaster of Technology (MTech), Electrical and Electronics Engineering, Master of Technology (MTech), Electrical and Electronics Engineering at Indian Institute of Technology, Kharagpur
Bengali, Hindi, English
Github Skills (46)
derived10
tensorrt10
nexus10
large-language-models10
llm-inference10
llm10
retrieval-augmented-generation10
nvidia10
tegra10
amdgpu10
gpu-acceleration10
bsp9
nano9
jetson9
optimus9
Programming languages (3)
Github contributions (5)
NVIDIA-AI-Blueprints/rag
Jan 2025 - Mar 2025
This NVIDIA RAG blueprint serves as a reference solution for a foundational Retrieval Augmented Generation (RAG) pipeline.
Contributions:1 release, 3 reviews, 2 PRs in 1 month
blueprintnimragretrieval-augmented-generation
NVIDIA/GenerativeAIExamples
Nov 2023 - Aug 2024
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
Contributions:3 releases, 23 reviews, 16 PRs in 9 months
gpu-accelerationlarge-language-modelsllmllm-inferencemicroservice
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