Rishabh Jain
Technical Architect at TestingXperts
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolRishabh Jain is an R&D-focused software engineer with 12+ years of experience building performant, system-level AI solutions across edge and cloud environments. He combines deep expertise in quantization, ML/DL tooling, and C++ performance engineering to optimize LLM and LSTM flows—enabling up to 4x gains and 25% memory savings on real projects. At Qualcomm he drove ONNX/Keras compatibility and automated quantized model debugging, saving developer and QA time while unblocking customer deployments. He has a track record of architecting scalable systems (CrewAI, PostgreSQL-backed monitoring) and mentoring teams through complex internals and mixed-precision strategies. Comfortable diving into internals—from Keras and ONNX profiling to CLion+PyBind hybrid debugging—he blends research curiosity with pragmatic delivery. Based in Bengaluru, he routinely bridges cross-functional teams and fosters a culture that treats mistakes as learning opportunities.
3 years of coding experience
14 years of employment as a software developer
Engineer’s Degree Electronics and Communication, Engineer’s Degree Electronics and Communication at UIT-RGPV, BhopalBachelor of Engineering (B.E.), Bachelor of Engineering (B.E.) at UIt-RGPV, Bhopal
Github Skills (9)
compression10
pruning10
quantization9
deep-learning8
machine-learning8
pytorch7
open-source7
deep-neural-networks5
neural-network5
Programming languages (1)
Github contributions (2)
quic-rij/aimet
Oct 2022 - Aug 2024
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Contributions:13 branches in 1 year 10 months
pytorchtechniquesdeep-learningpruningcompression
quic/aimet
Oct 2022 - Oct 2022
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Contributions:1 commit, 10 PRs, 1 push in 1 day
pytorchtechniquesdeep-learningpruningcompression
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