Abhinav Nandwani

About Abhinav Nandwani

B.S. in Computer Engineering from the University of Wisconsin–Madison, with a 3.9 GPA, specializing in AI/ML.Machine Learning & Software:Extensive experience deploying and fine-tuning large language models and transformer-based architectures for applications in NLP, deep learning, and genetics. Skilled in optimizing GPU kernels and parallel computation to improve training and inference efficiency. Strong foundation in C/C++ and PyTorch.Hardware Design & System-on-Chip Architecture:Proficient in RTL design and verification using Verilog and SystemVerilog, with hands-on experience synthesizing, deploying, and optimizing SoC designs on FPGAs. Solid understanding of pipelining, memory hierarchies, interconnects, and domain-specific SoC architectures.

Experience

1. Applied Ai Intern

   AMD

   Aug 2025 — Present · Boxborough, MA, US

   Applied AI Labs• Bootstrapped AMD’s internal AI benchmarking function, building evaluation harnesses for agentic systems (Claude Code, GPT-5 Codex, Gemini, and internal agents) on silicon design tasks — spec-to-RTL, waveform debug, design verification — using verifiable rewards via UVM testbenches and formal equivalence checks; results directly inform agent improvement cycles.• Built agentic waveform debug tool deployed to engineers across AMD’s chip design teams, cutting debug cycles from 2 weeks to 2 days; developed waveform MCP enabling agents to trace signals, analyze waveforms, and debug simulation runs directly.• Extended benchmarking expertise to evaluate external AI vendors and startups building tools for chip design, directly informing AMD leadership on adoption and acquisition decisions.

Education

• University of Wisconsin-Madison

  Bachelor of Science - BS, Computer Engineering, Computer Sciences