# Anmol Adwani

> Software engineer building AI agents and distributed systems. CS student at LNMIIT, Jaipur, India (B.Tech + M.Tech Dual Degree, Computer Science, Expected May 2028). Open to software engineering internships, remote.

I'm a Computer Science student at LNMIIT, Jaipur. I learn how things work by building them from the ground up: a Raft-based orchestrator, a sharded database, a Rust kernel, and AI agents that fix real bugs. I like problems where things can fail, because designing for failure forces clear thinking.

## Links
- [Portfolio](https://anmol-porfolio.vercel.app/)
- [Resume (PDF)](https://anmol-porfolio.vercel.app/Anmol_Adwani_Resume.pdf)
- [GitHub](https://github.com/coolstack-coder)
- [LinkedIn](https://www.linkedin.com/in/anmolaa100/)
- Email: anmoladwani100@gmail.com

## Projects
- [ForgeMind AI](https://github.com/coolstack-coder/ForgeMind-AI-Autonomous-Software-Engineering-Agent): An autonomous agent that turns a GitHub issue into a verified pull request. Results: 6 / 7 tasks resolved on hidden tests; 22 passing tests in CI. Stack: Python, Claude API, BM25, AST indexing, Sandboxing, GitHub API.
- [NebulaOS](https://github.com/coolstack-coder/NebulaOS): A self-healing cloud orchestrator, a small Kubernetes written from scratch in Go. Results: 0.57s to elect a new leader; 3.19s full recovery after the leader is killed; 730 ops/s replicated writes, p99 38 ms. Stack: Go, Raft, gRPC, Docker, containerd, React, Prometheus.
- [NebulaChaos](https://github.com/coolstack-coder/NebulaChaos): A Jepsen-style correctness lab that made my Raft cluster lie, then proved the fixes. Results: 3 real bugs found and fixed; 284,732 operations, all linearizable after fixes; 20,000 histories cross-checked against Porcupine. Stack: Go, Linearizability, Fault injection, Raft, Porcupine.
- [AegisDB](https://github.com/coolstack-coder/AegisDB): A fault-tolerant, sharded, linearizable key-value database built from scratch in Go. Results: 0 lost writes out of 200k+ acknowledged under chaos; 14,444 ops/s with fsync on every commit; ~1s to elect a leader after kill -9. Stack: Go, Multi-Raft, WAL, Prometheus, Porcupine.
- [ChronoForge](https://github.com/coolstack-coder/ChronoForge): A deterministic record/replay engine and time-travel debugger in Rust. Results: ~800 B log to replay a full run; 300 schedules hunted in under a second. Stack: Rust, ptrace, Vector clocks, React, TypeScript, gRPC.
- [GhostKernel](https://github.com/coolstack-coder/GhostKernel): An x86-64 kernel in Rust whose processes come back from the dead. Results: 20 kernel and end-to-end tests; QEMU booted and tested in CI. Stack: Rust, x86-64, Bare metal, QEMU.
- [ShadowTwin](https://github.com/coolstack-coder/ShadowTwin): A digital twin of a Kubernetes cluster that predicts which services fail when servers die. Results: 96.2% predictions correct (127/132); 59.1% for the naive baseline. Stack: Go, Python, PyTorch, Kubernetes, Prometheus, React.
- [ThreatPulse AI](https://github.com/coolstack-coder/ThreatPulse): Real-time cyber threat detection that folds alerts into MITRE ATT&CK kill-chain incidents. Results: 100% recall on 27 attack campaigns; 0 false-positive incidents in 1.5 h of benign traffic; 68k pkt/s with ML, on a laptop. Stack: Python, Online ML, MITRE ATT&CK, LLM briefings, Live dashboard.
- [GoldenHour](https://github.com/coolstack-coder/GoldenHour_Voice_Agent): A Hindi/English voice agent for the first 60 minutes after an online scam. Results: 3 languages: Hindi, English, Hinglish; 13 pytest guardrail tests. Stack: Python, FastAPI, Groq Whisper, ElevenLabs, React, three.js.
- [MemoryForge](https://github.com/coolstack-coder/MemoryForge): A coding agent that remembers why it failed and proves which lessons actually help. Results: 30.8% → 43.3% first-try pass rate on held-out tasks; 37 / 38 harmful lessons blocked. Stack: Python, PostgreSQL, pgvector, PyTorch, Docker.
- [Wind Watch](https://github.com/coolstack-coder/WW_AN): Day-ahead wind forecast intelligence for GB power trading. Results: −28% forecast error after a rolling bias fix; 86% of hours inside the P10–P90 band. Stack: React, TypeScript, FastAPI, pandas, Docker, Vercel.
- [Ledgerly](https://github.com/coolstack-coder/Personal-Finance-Tracker): A personal finance tracker with budgets, savings goals and monthly reports. Results: CSV + PDF report exports; Light + dark themes, mobile layout. Stack: Next.js 16, React 19, PostgreSQL, Drizzle, Vitest.

## Experience
- Software Engineer Intern, Dream Telecommunication Pvt. Ltd. (May 2026 – Present, Remote)
- Independent Researcher, Wind Power Forecasting, Self-directed (2026 – Present, Remote)
- AI & IoT Solutions Intern, Opsight AI (May 2025 – Jul 2025, Remote)

## Skills
- Languages: Go, Python, Rust, TypeScript, JavaScript, SQL, C++
- AI & LLMs: AI agents, Tool calling, RAG, Evals & guardrails, Claude, OpenAI, Gemini, Groq, PyTorch
- Distributed systems: Raft, gRPC, Write-ahead logs, Linearizability testing, Kubernetes, Docker
- Web & data: React, Next.js, Node.js, FastAPI, Flask, PostgreSQL + pgvector, Prometheus

## Education
- The LNM Institute of Information Technology (LNMIIT), Jaipur: B.Tech + M.Tech Dual Degree, Computer Science, Expected May 2028

## Optional
- [Full profile with project details](https://anmol-porfolio.vercel.app/llms-full.txt)