RISHI PRASEETH KRISHNAN

[email protected] github.com/CodedRichy LinkedIn
Experience
AI Engineer (Contract) — Veridock AI 2025 — Present
  • Built privacy-first invoice automation platform for Indian CA firms
  • Designed multi-language OCR pipeline with Claude Haiku integration
  • Full-stack: FastAPI backend, Supabase auth, production deployment
Backend Developer Intern — Soften Technologies May — Aug 2024
  • Built Django applications including UN Fundraiser platform
  • Designed REST APIs, database schemas, deployment pipelines
  • Python, JavaScript, PostgreSQL, SQLite3
3rd Place — ACM Nexus Hackathon 2026 Jan 2026
  • Team RRR: built Sentinel, a real-time piracy detection system in 24 hours
  • Dual-mode fingerprinting achieving 95% accuracy, <90s enforcement
Featured Projects
FixMyPrompt SHIPPED fixmyprompt-five.vercel.app
Next.js 16 · Supabase · Gemini Flash-Lite · Lemon Squeezy
  • Production SaaS: prompt engineering training with ELO gamification
  • 561+ challenges, 18-module academy, real payment infrastructure
Hybrid Cognitive Runtime hybrid-cognitive-runtime.vercel.app
Python · FastAPI · MCP SDK · SQLite · NetworkX · 20K+ LOC
  • Persistent AI agent memory: 40+ MCP tools, 41% token savings vs stateless baselines
  • Causal event graphs, BOCPD-based episode segmentation, 20+ test files
TARS github.com/CodedRichy/TARS
Python · SQLite · 37 test files · 100% auditable
  • Self-hosted AI agent with traceable decisions and explainable parameters
  • Hash-chained action ledger, multi-tier model router with cost receipts
GitPulse github.com/CodedRichy/GitPulse
TypeScript · Next.js · React Ink · MCP SDK · 18K+ LOC
  • AI-powered Git guardrails: MCP server (10+ tools), CLI, web dashboard
  • Convention learning from commit history across 3 surfaces
Sentinel Team project · 114 commits
Python · Flask · OpenCV · librosa · React · Groq
  • Real-time piracy detection: video pHash + audio mel-spectrogram fusion
  • 95% detection accuracy, enforcement window under 90 seconds
Education
B.Tech Computer Science
Muthoot Institute of Technology & Science
2024 — 2028
Technical Skills
Languages
Python, TypeScript, JavaScript, Verilog
Frontend
Next.js, React, Flutter, Tailwind, React Ink
Backend
FastAPI, Flask, Django, Node.js
AI / ML
Claude API, MCP SDK, Groq, Gemini, Ollama
Data
PostgreSQL, Redis, SQLite, Supabase, Neo4j
Tools
Docker, Git, CI/CD, Vercel, Netlify
Focus Areas
  • ▸ AI-native architecture & stateful reasoning
  • ▸ MCP server development (50+ tools shipped)
  • ▸ Multi-agent orchestration
  • ▸ Developer tooling & CLI
  • ▸ Production shipping & deployment
Other Projects

Sonder — Discord OS: 70+ commands, React dashboard, virtual economy, sentiment analysis

Intent Compiler — Goal → multi-agent workflow compiler with quality scoring

Expenso — AI expense tracker, 187+ tests, Flutter + Groq

LiteCPU16 — 16-bit single-cycle CPU in Verilog, Harvard architecture

CodeSense AI — Codebase → Neo4j knowledge graph with NL queries

ObsidianBridge — GitHub↔Obsidian real-time sync with AI tagging