name: Vinoth N
role: Full Stack Developer
location: Chennai, India
focus: [ Python, React, Node.js, ML, MCP servers ]
currently: Driving ChatGPT & Claude through MCP for end-to-end automation
learning: Advanced React patterns, AWS/Azure, applied ML
fun_fact: "Every day is a learning opportunity."- I build full-stack apps (Python / Django / Node.js / React) and explore Machine Learning end-to-end.
- I automate GitHub, LinkedIn and LLM chat workflows using MCP (Model Context Protocol) servers.
- I love clean repos, tested code, and reproducible setups.
- I plan to write about MCP, automation, and ML -- coming soon.
- Reach me on LinkedIn or via my GitHub profile.
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Turn Git repositories and relational databases into a Neo4j knowledge graph, queryable over MCP. |
OpenRouter-first PDF-folder agent. Hybrid FTS5 + vectors. PDF extract benchmark on public documents. |
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Give your AI coding agent a built-in supervisor: four guardrails (security, accessibility, validation, data-loss), technical-debt tracking, and plain-language traffic-light reports. Works with Claude Code, Cursor, and more. |
book-to-skill — turn a PDF/MD/DOCX book into a Claude Code skill (skill mode + provider-agnostic API mode). |
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Self-service internal platform for edge/load-balancing infrastructure with FastAPI, async workers, dynamic Envoy config, and agentic AI. Educational but production-style. |
kairos picks the right LLM technique for any task by querying a curated wiki of agent patterns - RAG, ReAct, Reflexion, and 17 more. Karpathy LLM Wiki + rule-based selector + 3 working runners. Zero API keys (routes through llm-mcp). |
This block is auto-refreshed daily from my real public repos by .github/workflows/featured.yml (runs scripts/update-featured.js).
Want the story of how this profile is built? See GUIDE.md and BUILD-GUIDE.md.
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Walking on water and developing software from a specification are easy if both are frozen. --- Edward V. Berard
This card is auto-rotated daily by .github/workflows/quote.yml.
Generated daily by .github/workflows/snake.yml. The first run will populate the output branch.
This README is maintained with MCP servers running through Cursor:
user-githubMCP -- creates branches, commits files, opens PRs, runs releases.user-linkedinMCP -- fetches profile context and lets me cross-post project highlights.user-llm-mcp-- drives ChatGPT and Claude via stealth Playwright (Patchright) for content drafts and code reviews.
See GUIDE.md and BUILD-GUIDE.md for the full step-by-step playbook (badges, dynamic widgets, GitHub Actions, MCP automation).
Vinoth Nagarajan — Software Engineer @ Solverminds · Chennai, India Transforming data into actionable insights with Python, TensorFlow, Machine Learning, and PostgreSQL.
- Building scalable data pipelines + automation for maritime logistics (vessel schedules, AIS, ETA prediction with RNNs).
- 3+ years on Python / Django / PostgreSQL; currently driving ChatGPT & Claude through MCP for end-to-end automation.
Recent posts:
- Ascend AI — learn AI by thinking, not just using (15 tracks, 279 modules, zero video) — read
- Overseer — a built-in supervisor for your AI coding agent (open source) — read
- Kairos is live on PyPI —
pip install kairos-agent— read
Connect: linkedin.com/in/vinoth-nagarajan1


