Agentic AI Developer | LLM-Powered Systems | Deep-Learning-Researcher | Harness-Engineering | Building AI That Ships 🤖

Delhi, India

Bachelor's in computer application, Computer Science
Maharshi Dayanand University
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Download Tal BossAgentic AI Developer | LLM-Powered Systems | Deep-Learning-Researcher | Harness-Engineering | Building AI That Ships 🤖
I build production-ready Agentic AI systems conversational agents, RAG pipelines, and LLM-powered automation tools that solve real business problems. My core stack: Python · LangChain · LangGraph · CrewAI · FastAPI · Streamlit · DSA · HuggingFace. What I bring to a team: → End-to-end ML projects: from data ingestion to deployed API → Agentic workflows using multi-agent frameworks (LangGraph, CrewAI) → RAG systems with semantic search and vector databases (Pinecone) → Clean, documented, scalable code with a product-first mindset Currently completing my BCA at Maharshi Dayanand University (2025) and building in public — every project is live on my portfolio. Open to: AI/ML roles | LLM Engineering | NLP | Full-time or internship opportunities.
Delhi
AI Research and Development Intern at Gadget Guruz, Aug 2025 - Nov 2025 · 4 mos, Delhi, India, → Built and deployed AI-powered Chatbots using LangChain and LangGraph → Designed a RAG pipeline with FAISS vector store, reducing query response time by 50% → Developed AI Verification System to reduce manual efforts and Scale across the users → Integrated FastAPI endpoints for LLM services consumed by internal users Tech used: Python · LangChain · LangGraph · FAISS · FastAPI · OpenAI API
Bachelor's in computer application, Computer Science, Maharshi Dayanand University