Ansh Aggarwal
Research Assistant at University of Illinois Urbana-Champaign
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolAnsh Aggarwal is a research-oriented software engineer and rising B.S. computer science student at UIUC with eight years of hands-on experience building ML and AI systems. He currently conducts LLM research with Prof. Matthew Caesar and has practical experience deploying AI agents and structured LLM outputs for commercial and energy-focused applications. His work spans FPGA latency reduction for safety systems, ML for virtual power plants (published), and production-facing engineering for sales/CRM automation. Ansh blends academic rigor with startup-speed delivery, having interned across finance, healthcare, and energy domains and taught algorithms to high-school campers. Notably, he pairs low-level performance optimization (FPGA) with higher-level LLM structuring, making him comfortable across the ML stack.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at William Fremd High SchoolBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Illinois Urbana-Champaign
English, Hindi, French
Github Skills (53)
simulation10
high-resolution10
sem10
parallel10
cosmology10
modeling-tool10
simulations10
spectral10
fusion10
sbml10
hpc-applications10
amr10
multiphysics10
bed10
fluid9
Programming languages (11)
Github contributions (5)
arfc/sneks4me
May 2019 - Jul 2021
Contributions:1 release, 382 commits, 322 pushes in 2 years 1 month
arfc/i2cner
Nov 2017 - Aug 2021
Holds software, notes, documentation, and publications related to the ARFC I2CNER project on dynamic energy systems analysis.
Contributions:1 release, 4 PRs, 530 pushes in 3 years 8 months
notesenergy-systemssnl-applicationselectrical-engineeringenergy-system
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