I'm an Artificial Intelligence and Machine Learning Engineer with a strong foundation in full-stack development, LLMs (Large Language Models), RAG (Retrieval-Augmented Generation), and NLP. I specialize in designing and deploying scalable AI systems that solve real-world problems. With expertise in modern AI technologies including generative AI, prompt engineering, and LLMOps, I apply a product-thinking mindset to build impactful, user-focused applications.

• 🤖 LLM Expert: Prompt engineering, fine-tuning, deployment on Hugging Face
• 🔗 RAG Specialist: RAG pipelines, LangChain, LangGraph orchestration
• 💻 Full-Stack AI: FastAPI backends, React frontends, end-to-end AI solutions
• 🎓 Continuous Learner: Bachelor's in AI/ML (Smt. Indira Gandhi College, 2022-2026)
• 🏢 Professional Experience: AI Intern at Arcitech (LangChain, chatbot development)

• LLMs & Generative AI: Prompt Engineering, Fine-tuning, LLMOps, Model Deployment
• RAG & Knowledge Systems: Retrieval-Augmented Generation, Knowledge Graphs
• Agentic AI: Reinforcement Learning, AI Agents, Multi-step Workflows
• Computer Vision: Facial Emotion Recognition, Drowsiness Detection, CNNs
• Deployment: Containerization, CICD, Hugging Face, GPU-based optimization

Intelligent interview preparation using NLP & LLMs

• Engineered using Google Gemini with automated feedback scoring
• Simulates real interview scenarios with AI-powered evaluation
• ML-based response analysis and comprehensive performance analytics
• Tech: NLP, LLMs, Google Gemini, FastAPI, React

Real-world safety applications using computer vision

• Drowsiness Detection System using OpenCV & CNNs
• Facial Emotion Recognition with TensorFlow & Keras
• Enhanced road safety and behavioral analytics
• Tech: Python, OpenCV, TensorFlow, Keras, Deep Learning

Personalized learning journey generation using advanced AI

• FastAPI backend with React frontend
• RAG pipelines for intelligent content generation
• Fine-tuned LLM models from Hugging Face on GPU
• Day-wise personalized learning paths
• Tech: RAG, LLMs, FastAPI, React, Hugging Face, LLMOps

Enterprise chatbot with intelligent data orchestration

• Multi-website scraping pipeline implementation
• LangChain & LangGraph orchestration for RAG workflows
• Intelligent response generation within 40 seconds
• Work & Web modules with PostgreSQL backend
• Support Response AI for context-aware assistance
• Tech: LangChain, LangGraph, RAG, Web Scraping, PostgreSQL, Django

✅ ML & Data Science with LangChain and LLMs - Udemy ✅ Machine Learning - Scaler Academy ✅ Deep Learning - Scaler Academy ✅ Large Language Models - Deeplearning.AI ✅ Retrieval Augmented Generation (RAG) - Simplilearn & Deeplearning.AI ✅ Agentic RAG & Knowledge Graphs - Deeplearning.AI ✅ LLMOps, Pre-training & Fine-tuning - Hugging Face & Deeplearning.AI

• LangChain & LangGraph Expertise: Implemented production-ready RAG pipelines and advanced prompt engineering workflows
• Data Pipeline Development: Built multi-website scraping pipeline with efficient data management
• Chatbot Architecture: Designed LangChain-based orchestration script processing complex queries within 40 seconds
• Module Integration: Developed Work and Web modules with PostgreSQL backend for structured data access
• Support System: Implemented intelligent Support Response AI aggregating Work and Web data for accurate assistance

• Engineered AI-powered Mock Interview System with NLP and LLMs
• Developed Computer Vision projects (Drowsiness Detection, Emotion Recognition)
• Building AI Course Generator with RAG and LLMOps
• Deployed custom LLMs and RAG pipelines to Hugging Face
• Maintained modular GitHub portfolio for NLP, CV, and Full-stack AI applications

• 🔨 Advanced LLM fine-tuning and prompt optimization techniques
• 📊 Building production-grade RAG systems for enterprise applications
• 🤖 Developing agentic AI systems with multi-step reasoning
• 🌐 Scaling AI solutions with containerization and cloud deployment
• 📚 Contributing to open-source AI/ML projects

"Building AI isn't just about algorithms—it's about creating intelligent systems that solve real problems and make a meaningful impact on people's lives."