GenAI / LLM Engineer building practical AI systems with Python, TypeScript, RAG, AI agents, ServiceNow automation, and cloud AI platforms.
I like turning rough AI ideas into working tools: agentic workflows, retrieval systems, document intelligence, CLI operators, and automation that helps support and engineering teams move faster.
- LLM applications with RAG, semantic search, tool calling, and agent orchestration
- Python/FastAPI services, TypeScript tooling, Telegram/CLI automation, and production-ready APIs
- ServiceNow and ITSM automation, incident analytics, SOP generation, and operational intelligence
- OCR/document AI workflows, including human-in-the-loop review for sensitive outputs
- Cloud AI experiments across Azure OpenAI, Google Vertex AI, AWS, and local model tooling
| Project | What it shows |
|---|---|
| gemini-claw | Telegram-native Gemini CLI operator with private allowlisted chats, task workers, session continuity, stream-JSON parsing, and safety controls. |
| RocketGuard-1B | Fine-tuned MiniCPM5-1B model for guardrail and agent safety decisions (allow/block/rewrite/ask). Weights on Hugging Face. |
| ADK-Agents | Google ADK multi-agent prototype with background workers, MCP tools, memory hooks, and eval scaffolding. |
| bloom | AI Content Marketing SaaS — multi-format text generation, image generation, and content improvement (48-hour challenge build). |
| thousand-token-quest | Retro Gradio RPG that turns your resume into a playable career adventure (Build Small Hackathon). |
| GLM-OCR contribution | Merged open-source fix to a 6k+ star OCR project: layout config id2label support, safer missing mapping behavior, and unit tests. |
Note: This profile is a public timeline — everything stays visible. Some repos are polished products, most are learning experiments. The featured projects above are the ones worth clicking first.
- Languages: Python, TypeScript, JavaScript, SQL
- AI/LLM: RAG, agents, MCP, LangChain, embeddings, vector search, prompt engineering, OCR/document AI
- Backend: FastAPI, REST APIs, Pydantic, Node.js, Docker, PostgreSQL/pgvector
- Cloud/Platforms: Azure OpenAI, Azure AI Foundry, Google Vertex AI, AWS EC2/S3, ServiceNow
- Data/ML: BERTopic, clustering, semantic search, ChromaDB, FAISS, notebooks, operational analytics
- Turning useful experiments into cleaner projects with stronger READMEs, tests, and reproducible setup
- Improving practical AI workflows for incident intelligence, document processing, and developer automation
- Contributing small, useful fixes to open-source AI/OCR tooling
- Merged contributor to zai-org/GLM-OCR, improving layout configuration handling and test coverage.
- LinkedIn: manit-kumar-ai
- GitHub: @Manitchahar
- Email: chaharmanit@gmail.com
Focused on useful AI systems, clean developer workflows, and practical automation.

