Rajesh Nayak

AI | GenAI | ML | DL | Embedded | Automotive | EdgeAI | LLM | Speech | Vision | Lidar

Role
Staff Engineer at Qualcomm
Location
Bengaluru, KA, IN
LinkedIn followers
500 followers

About Rajesh Nayak

Interested in Digital Signal Processing and Digital Image Processing in the context of Computer Vision and Machine Learning / Deep Learning Models. Working on ML/ DL training models and implemented with fully optimized way on different hardware platforms like Qualcomm Mekena, Lemans, Texas instrument (TI TDA3x), TI TDA4x, Qualcomm 6155, 8155, Nvidia RX 2, Qualcomm SDM845 and Broadcomm BCM89107 etc.Graduated with a MTech in ECE from National Institute of Technology (NIT), Rourkela, 2016.

Experience

  1. Staff Engineer

    Qualcomm

    Nov 2025 — Present · Bengaluru, IN

    Collaboration with Google (Automotive AI Agent)- Implementation of DMS pipeline with Google agent- Implementation of Personal Assistant with Google agent and custom fullfilment- QNN JNI-Wrapper for on-Edge LLM/QWEN model execution on Qualcomm DSP- Implementation of OEM custom pipeline across Qualcomm Targets (confidential)- Finetuning of BGE and Llama2.0/3.2 for RAG and Plugin use case- Collaboration with QA team for test plan and Release package for Cutomer/OEM

Education

  • National Institute of Technology Rourkela

    Master of Technology, communication and networks

    2014 — 2016

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Rajesh Nayak — Staff Engineer at Qualcomm in Bengaluru, KA, IN | Unifers