Building intelligent systems that think, automate, and scale.
I'm a Gen AI Engineer passionate about embedding intelligence into every layer of software. My focus is on building LLM-powered applications, multi-agent automation systems, and RAG pipelines — combined with full-stack engineering to ship complete, production-grade products.
- 🔭 Currently building Paykaro — integrating AI automation into fintech workflows
- 🤖 Specialised in LangChain, LangGraph, RAG architectures, and multi-agent systems
- 🌱 Deepening expertise in Agentic AI, LLM fine-tuning, and AI-native product design
- 🔗 I believe every web app should have an AI layer — I build both the brains and the body
- ⚡ Fun fact: I find bugs in code, not in people.
🤖 Gen AI Applications → RAG chatbots, AI agents, LLM-powered tools
🔄 Intelligent Automation → NLP pipelines, sentiment analysis, workflow bots
🌐 Full Stack Products → React/Next.js frontends + Django/FastAPI backends
📊 AI-Integrated Systems → Embedding AI into dashboards, APIs, and data flows
Python LangChain OpenAI API FAISS FastAPI
Intelligent chatbot using RAG architecture — ingests YouTube content, chunks and embeds it into a vector store (FAISS), and enables semantic multi-turn Q&A via OpenAI API.
- Built full ingestion pipeline: data preprocessing → chunking → vector embeddings → semantic search
- FastAPI REST layer with prompt templates and memory management for contextual conversations
- Demonstrates end-to-end RAG: from raw data to intelligent response
Python LangGraph LangChain OpenAI Gemini Tavily Streamlit
Production-style multi-agent automation system (orchestrator–worker: planner → router → worker → reducer) that autonomously researches and generates blogs end-to-end.
- Architected agentic graph: planner decomposes tasks, router dispatches to workers, reducer synthesises output
- Integrated Tavily for real-time web research + automated citation generation
- Full autonomy from topic input → researched, cited, publication-ready blog
Django Next.js MongoDB Python NLP REST APIs
NLP-powered sentiment analysis web app with AI chatbot for automated user interactions across Discord, WhatsApp, Facebook, and Slack.
- Integrated multi-platform REST APIs for real-time sentiment monitoring
- Built AI chatbot layer using Python for intelligent query handling
- Full-stack: Django backend + Next.js frontend + MongoDB storage
| Role | Company | Period | Focus |
|---|---|---|---|
| Jr. Associate Engineer | Zensar Technologies (NVIDIA client) | Sept–Dec 2025 | Python AI apps, ML pipelines, autonomous driving data |
| Full Stack Developer | Grovio Pvt Ltd | Apr–Aug 2025 | AI chatbot, NLP automation, multi-platform integrations |
| Frontend Developer | Deva Defi Pvt Ltd | Nov 2024–Apr 2025 | React/Next.js, REST API integrations, KYC workflows |
B.Tech, Computer Science — Pimpri Chinchwad College of Engineering, Pune (2021–2025)
Full Stack Web Development | Salesforce Certified AI Associate | API Fundamentals | Foundation of Cybersecurity
"AI should not just assist applications — it should be the core of them. I build systems where automation isn't an afterthought, it's the architecture."
📫 Reach me at [email protected] | 🌐 charulchim.me | 📄 Resume