May 2023 – May 2024 · 1 yr · Hillsboro, Oregon, United States · Remote

• Developed an AI inferencing server using C++/STL leveraging gRPC, and asynchronous callbacks to facilitate client-server
• communication across multiple chipsets from Intel, and Qualcomm (OpenVINO and Snapdragon Neural Processing Engine).
• Contributed to the async multi-threaded Python Machine Learning Pipeline Execution Engine, improved code quality, and followed
• agile practices.
• Responsible for the development and implementation of REST API, wrote unit and integration tests using pytest, and bug fixes.
• Worked as part of porting the Execution Engine to rust using tokio-rs.
• Implemented a safety fallback feature for the Execution Engine using a time-based leaky queue, thus improving system reliability to
• maintain stability during high inflow of images.
• Designed and integrated Megh Model Server into Nimble Execution Engine, which is inspired by NVIDIA Triton Inference Server.
• Contributed to many bug fixes and development of Golang based CLI installer.

May 2023 – Aug 2023 · 3 mos · Raleigh, North Carolina, United States · Remote

• Designed problems, and resolved student doubts for CSC-505, a graduate-level course on algorithm design covering concepts like
• Graph Path Finding, NP-Completeness and approximation algorithms.

Dec 2020 – Mar 2021 · 3 mos · Chennai, Tamil Nadu, India

• Developed an audio conferencing application with ReactJS and Firebase, featuring multiple public and private spaces, and received
• a 100,000 INR funding grant from the Government of India during the COVID-19 pandemic to aid communication in war rooms
• Led the end-to-end development of the application, taking it from scratch to beta deployment, and successfully implemented it for
• efficient communication in COVID-19 war rooms, supporting volunteers in their fight against the disease.