Sumit Agarwal

About Sumit Agarwal

Moto : Make AI run faster, faster and faster!Interest: GPU Compute Programming, AI accelerator, NLP (Transformer), Distributed Cloud Computing Platform, AI Infrastructure.I work on building GPU accelerated high-performance C++ low-level public ML platform (DirectML) and GPU-agonistic runtime of high-level ML frameworks (ONNX Runtime) to expedite ML inference. I have recently completed a Master\'s in Computer Science from Stony Brook University, New York. In the past, I have worked at Uber and Goldman Sachs. In Uber, I got an opportunity to design and build a configuration-driven gRPC-based UX experimentation service platform in GO, to allow runtime customization. In Goldman Sachs I was under Core Engineering Division to proactively identify Data Quality issues in financial products, expose the ML model as RESTful APIs, and efficiently reconcile two datasets, by building and launching software that harnessed Reinforcement Learning, Web-services, and Data Structure & Algorithm.The professional experience gave me the opportunity to showcase an ability to comprehend business problems and recommend an efficient technical solution.

Experience

1. Software Engineer Ii

   Microsoft

   Feb 2021 — Present · Redmond, WA, US

Education

• DELHI PUBLIC SCHOOL BOKARO

  AISSCE PCM XII, Physics Chemistry Maths

  2010 — 2012

• Stony Brook University

  Master of Science - MS, Computer Science

  2019 — 2020

• BIT Mesra Student-Industry Relations Cell

  Bachelor of Engineering (B.E.), Computer Science

  2012 — 2016

Skills

• Data Structures
• Algorithms
• Databases
• C++
• Microsoft Office
• Javascript
• C
• Programming
• Operating Systems
• Networking
• Html
• Mathematical Modeling
• Java
• Linux
• C++ Language