Param Chaudhari
AI Systems & Full-Stack Engineer.
MS in Computer Science at UNC Chapel Hill.
AI Systems & Full-Stack Engineer.
MS in Computer Science at UNC Chapel Hill.
UNC Chapel Hill — CS Dept
UNC Chapel Hill — CS Dept
Information Technology Services, UNC Chapel Hill
DRDO, Bangalore
Bharat Blockchain Network
Palo Alto Networks
Amazon Web Services
Capability-based security sidecar in Rust. Replaces over-privileged API keys with task-scoped, short-lived sessions for AI agents — stateless authorization, K8s-deployable Docker container, Biscuit token facts. Companion MCP server + Python SDK exposes security tools to agents in LangGraph.
Real-time observability platform on AWS — Next.js + React + FastAPI. OpenTelemetry instrumentation for AI agents, nested checkpoints to SQLite for time-travel debugging. Handles 50+ concurrent workflows under 20 ms.
Custom INT8 MAC instructions extending the CVA6 core via CVXIF. Attention microkernel with deterministic loop execution removes CPU dispatch overhead — 7.5–9× p99 latency cut on batch-1 attention (307 → 34 cycles).
$0/month idle, sub-50 ms cold starts. gRPC ingestion gateway, Upstash Redis semantic caching, Upstash Vector embeddings — 30–60% LLM token reduction. Playwright e2e for UI reliability.
RAG chatbot for paramsc.dev, indexed over Param's CV, resume, projects, OSS PRs, writing, education, and practice logs. Uses build-time local MiniLM embeddings, bundled JSON vector search, Groq Llama 3.3 streaming, and citation chips with a $0/month operating target.
Hybrid TLA+ ↔ KLEE framework. Model-checker counterexamples drive symbolic execution; property-directed loop auto-generates invariants and KLEE harnesses. Verified safety properties for Raft.
FastAPI + Python pipeline. Semantic search resolves common queries instantly from an FAQ knowledge base; React frontend escalates the rest. Serves 1,000+ users daily.
Published to VS Code + Cursor marketplaces. PyMuPDF + python-docx engine for high-fidelity text extraction. Auto-detection layer lets AI agents read local docs for context-aware code generation.
Python + LangGraph router for agentic queries between local and remote MCP tools. Semantic routing enforces data boundaries while keeping sub-second latency under load.
BERT-based classification feeding a ChromaDB vector store. Custom cross-encoder reranker, grid-searched hyperparameters — high-precision document retrieval.
Resolved race conditions in parallel tool execution. Co-architected a unified citation interface (8.5k+ LoC) that standardizes source attribution across OpenAI, Anthropic, and Gemini providers.
INT8 quantization checks + automatic FP8 fallback for SM100+ kernel loading. Keeps the runtime stable when newer GPUs lack expected kernels.
Diagnostic suite + connection-pool fix to prevent leaks when SSE streams fail mid-flight.
Corrected how RV64 interrupt causes are recorded; eliminated unintended latch inference. Improves cross-platform synthesis on a CPU that ships in real silicon.
Fixed a YAML parsing bug in skill-creator template (bracketed descriptions misread as lists). Sped up bbox validation 3× by grouping checks per page to skip redundant cross-page comparisons.
Multi-strategy capture (CDP, Firefox-native) — handles pages that overflow the viewport without manual scroll-stitching.
Cut redundant browser launches; added respectful rate limiting with strict per-source article caps.
I’m not a professional mathematician. I’m someone who loves algorithms, proofs, and the moments when pure math collides with the real world. So when OpenAI announced their internal model had…
A quick heads-up: This post is a bit of a deep dive. While I usually aim for brevity, the history of world models, stretching from 1943 to today’s multi-billion dollar research labs, is far too…
UNC Library
JETIR · Vol. 10, Issue 5
DRDO, Bangalore
Google Developer Group, Pune
Blockaders Club, PES Modern College
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