certainly-param - Overview
> Research Assistant @ UNC Chapel Hill | MS Computer Science
> Currently working on formal verification for RISC-V architectures
$ cat tech_stack.txt
// Languages
// AI & ML
// Backend & Cloud
// Cryptography & Security
// Systems & Tools
$ ls ~/projects
| Project | Description |
|---|---|
| Garuda | RISC-V INT8 accelerator with 7.5-9× latency reduction for attention microkernels |
| PSF Design Lab | AI predictability assessment toolkit with hybrid measurement (entropy + KL divergence + LLM) |
| TraceLens | Visual debugger for LangGraph workflows with time-travel debugging and real-time visualization |
| VAC | Capability-based security for AI agents with task-scoped credentials and instant revocation |
| Axiom | Hybrid verification framework (KLEE + TLA+) for distributed systems with 100% coverage for Raft |
| Serverless RAG Chatbot | Scale-to-zero RAG architecture with $0/month when idle and 30-60% cost reduction via caching |
$ git log --author=param --oneline
| Contribution | Description |
|---|---|
| pydantic-ai | Fixed race condition in parallel tool execution with targeted locking |
| vLLM | INT8 quantization fix for Blackwell GPUs (SM100+) with early validation and FP8 guidance |
| CVA6 RISC-V | Fixed interrupt encoding in RV64 + inferred latch fix - improves hardware reliability |
| MCP Python SDK | Resource leak fix in SSE handlers with comprehensive test suite |
| Anthropic Skills | Performance optimization: 90% reduction in bounding box comparisons for multi-page forms |
$ curl blog.rss
- History of World Models: From Mental Simulators to AI’s Next Frontier
- The Molting of the Claw: Why Autonomous Agents Need a Verifiable Shell
- The Paradox of Choice: A Human’s Guide to Selecting the Right AI Model
$ tail -f activity.log
- 🗣 Commented on #3729 in pydantic/pydantic-ai
- 🗣 Commented on #3729 in pydantic/pydantic-ai
- 🎉 Merged PR #3259 in emmabostian/developer-portfolios
Made while doing lot of snacking ;)
param@github: ~ $ exit