G V Ravi Sankar

About G V Ravi Sankar

Working on automation of build and test for Wireless 6G infrastructure.Led Qualcomm\'s AI software initiatives, my role centered on developing the AISW Accuracy Evaluator Tool, with a focus on enhancing AI model performance across a broad spectrum of technologies. We\'ve successfully advanced AI solutions tailored for mobile, automotive, compute, IoT, and XR platforms, thanks to my expertise in generative AI tools and strong communication skills.Previously, as the lead of ML Accuracy Team, my work was instrumental in optimizing machine learning models for the AI Cloud division, striking a fine balance between speed and accuracy. This pivotal contribution supported the AI100 Inference accelerator\'s success, underlining my dedication to innovation and precision in AI model analysis.

Experience

1. Senior Staff Engineer

   Qualcomm

   Feb 2018 — Present · Bangalore, IN

   Nov 2024 - till dateWorking on automation of build and test for Wireless 6G infrastructure.Developing python scripts used in DV an HVT of 6G Hardware using AI Code Agent.Dec 2023 - Oct 2024:Lead and developer of AISW Accuracy Evaluator Tool - Part of global AI software team, working on common AISW stack - Supporting target devices across mobile, auto, compute, IoT, and XR platforms - Leading and contributing to ML Accuracy Evaluator tool feature development - Supporting various ML models including LLMsSep-2020 - Nov 2023:Lead of Machine Learning Accuracy Team for Qualcomm\'s AI Cloud division- Perform accuracy analysis on ML models & LLMs using accuracy tools and resolve accuracy issues- Explore mixed precision, quantization, compression techniques to trade-off accuracy with speed- Optimize ML models and tune parameters to meet accuracy targets on AI100 inference acceleratorFeb-2019 - Aug-2020:Software Development for Machine Learning tools for Qualcomm\'s IoT division- Tools used for training, optimizing and evaluating the object detection model- Severe memory constraints, light weight model used with ultra low power (< 1 mW) camera - Use cases: Retail/IoT, Video Door Bell, Low Cost / Security Camera, Interactive Toys.Feb-2018 to Jan 2019: Data Server Firmware DevelopmentSoftware and Firmware development for the Server Platform chipsets from Qualcomm Data Server- Handled overall ownership of RAS module.(Reliability, Availability & Serviceability)- Developed RAS drivers for Dakar Mesh & DDR- Supported of EMAC driver for new chipset- Supported IMC firmware (Integrated Management Controller).

Education

• APRJC, Chintapalli

  Intermediate or +2, Maths, Physics, Chemistry

  1988 — 1990

• St Joseph's Convent, Srikakulam

  Primary Education, 4th & 5th Standard

  1983 — 1984

• Nirmal Hridai High School, Khammam

  Primary Education, 2nd & 3rd Standard

  1981 — 1983

• Indian Institute of Technology, Bombay

  M.Tech, Computer Science & Engineering

• Sri Venkateswara University

  B.Tech, Computer Science & Engineering

  1990 — 1994

• Government Junior College, Rajam

  Secondary Education, 6th to 10th Standard

  1984 — 1988

Skills

• Embedded Systems
• Rtos
• Firmware
• Embedded Software
• C
• Software Development
• Debugging
• Vxworks
• Shell Scripting
• Device Drivers
• C++
• Dsl
• Digital Signal Processors
• Linux
• Perl
• Testing
• Unix
• Software Engineering
• Adsl
• Vdsl2
• Programming
• Dsp
• Awk
• Scripting
• Nucleus
• Assembly
• Ms Office Tools
• Sed
• Bash
• Software Architecture
• System Architecture