CS @ Cornell University (minors in AI and Applied Economics) — I build machine learning systems close to the metal: GPU kernels, edge inference, and hardware-accelerated pipelines.
Currently:
- 🔬 ML Research Assistant @ Cornell Zhang Research Group — profiling frontier MoE models on 8x H100 clusters to guide custom AI silicon design
- 📡 ML Engineer Intern @ L3Harris Technologies — real-time, on-device text-to-speech on embedded military radios (INT8 quantization, ONNX Runtime, ARM NEON)
Selected work:
| Project | What it is |
|---|---|
| hft-fpga | FPGA trading engine: 444ns tick-to-signal from live ITCH 5.0 data, 83.3M msgs/sec pipelined limit order book |
| triton-gpu-kernels | Handwritten Triton kernels for H100 — fused FP8 LayerNorm, FlashAttention with online softmax |
| mini-tensorrt | A from-scratch C++ inference compiler: ONNX parsing, operator fusion, kernels that match ONNX Runtime exactly |
| Winston | Agentic AI middleware — a circuit breaker that stops runaway LLM agent loops and enforces token budgets |
| scout | Full-stack platform connecting Cornell student-athletes with alumni (Next.js, Supabase, 45k+ records) |
| LockedIn | Swipe-centric networking app in Swift — "Best UI" @ Cornell AppDev Hack Challenge |
Elsewhere: pauliacobucci.com · LinkedIn · pmi22@cornell.edu