Rishi Sinha

Software Engineer

Champaign, Illinois, United States1 yr experience

Key Highlights

  • Master's student with strong AI and ML expertise.
  • Experience with top companies like AMD and Deloitte.
  • Proven ability to optimize LLM inference.
Stackforce AI infers this person is a skilled AI and Machine Learning professional with experience in SaaS and research environments.

Contact

Skills

Core Skills

TeachingEngineering

Other Skills

Assistant TeachingvLLMPyTorchPython (Programming Language)BasketballC++Pandas (Software)Machine LearningJupyterGitHubGitData ScienceChange DetectionGeographic Information Systems (GIS)Google Earth Engine

About

Hi there! I'm currently a master's student in CS at UIUC, where I also completed my bachelor's in CS. I have experience with LLM Inference Optimization, Distributed Systems, Machine Learning, and Security. I've most recently interned at AMD's AI group and have previously worked with Deloitte and the Department of Defense. Interested in any career or research opportunities!

Experience

Amd

2 roles

Software Development Engineer 2

Mar 2026Present · 0 mo · San Jose, California, United States

  • Working on AI Developer ecosystem for Radeon Open Compute (Rocm)

Masters Artificial Intelligence Intern

May 2025Aug 2025 · 3 mos · San Jose, California, United States

  • Inference optimization on LLMs through compiler level transformations

University of illinois urbana-champaign

Graduate Teaching Assistant

Jan 2025May 2025 · 4 mos

  • CS 277 TA (Data Structures and Algorithms for Data Science)
  • Developed labs and machine projects to help students in developing fundamentals of recursion, graphs, networks etc.
  • Assisted over 200 students in weekly labs and office hours
Assistant TeachingEngineeringTeaching

Deloitte

Cloud Engineering and Software Summer Scholar

Jun 2023Aug 2023 · 2 mos · New York City Metropolitan Area

  • Automated network flow and managing of data center placement for Meta. Developed Generative AI applications in infrastructure planning

Biologically informed artificial intelligence group

Researcher at Beckman Institute

Sep 2022May 2023 · 8 mos · Champaign, Illinois, United States

  • Investigated how Neural Networks can better model processes of cognitive thought in order to make improved decisions.

Umd applied research lab for intelligence & security

Computer Science Intern

May 2022Aug 2022 · 3 mos

  • Created random forest algorithms and change detection algorithms with Google Earth Engine and python for crop identification in data sparse regions

Education

University of Illinois Urbana-Champaign

Masters of Computer Science — Computer Science

Jan 2024Jan 2025

EPFL

Bachelor's degree — Exchange (Computer Science)

Sep 2023Dec 2023

University of Illinois Urbana-Champaign

Bachelor's degree — Computer Science

Jan 2021Jan 2024

John P Stevens High School

Jan 2017Jan 2021

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