Email • LinkedIn • GitHub • X/Twitter • Resume
I build production-ready AI systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI workflows.
🚀 Open to AI Engineer, GenAI Engineer, LLM Engineer, and Agentic AI opportunities.
- Computer Science Graduate (2024)
- Passionate about building AI products that solve real-world problems
- Experienced in developing RAG pipelines, AI agents, semantic retrieval systems, and LLM-powered applications
- Strong backend engineering foundation with REST APIs, databases, and scalable architectures
- Focused on production-ready AI systems rather than simple chatbot wrappers
AI-powered website knowledge extraction and RAG system that converts websites into searchable knowledge bases.
Highlights
- Automated website crawling and content extraction
- Semantic search using embeddings and vector retrieval
- ChromaDB-powered knowledge storage
- Context-aware retrieval for grounded responses
- End-to-end RAG architecture
Tech
Python LangChain ChromaDB Sentence Transformers RAG
Multi-agent AI research system that autonomously gathers, analyzes, and synthesizes information.
Highlights
- Tool-calling based agent workflows
- Automated web research pipeline
- Information extraction and synthesis
- Research quality review stage
- Modular multi-agent architecture
Tech
Python LLMs AI Agents LangChain Prompt Engineering
- Advanced RAG Architectures
- Agentic AI Systems
- Multi-Agent Orchestration
- MCP (Model Context Protocol)
- AI Evaluation Frameworks
- Production AI Infrastructure
Building Production AI Systems
User
↓
Retriever
↓
Vector Database
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LLM
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Grounded Response
Planner Agent
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Research Agent
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Reviewer Agent
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Final Output
📧 Email: akashbharangar10@gmail.com
💼 LinkedIn: https://www.linkedin.com/in/akash-bharangar-757440186/
🐙 GitHub: https://github.com/akashbharangar
🐦 X/Twitter: https://x.com/akaaaaashhhhh
📄 Resume: https://drive.google.com/drive/folders/182MYpC_CNeISP0jPAcrTV_zvnAxp2BKe
If you're building AI products, GenAI applications, or agentic systems, I'd love to connect and collaborate.


