About Me
AI/MLEngineer specializing in Generative AI, LLMs, Agentic AI, and RAG pipelines. Proficient in Python, LangChain, Hugging Face Transformers, QLoRA fine-tuning, FAISS vector search, and deploying ML models via FastAPI and Streamlit.
Skills & Technologies
Work Experience
AI Developer Intern
Engineered real-time AI automation using Hugging Face Transformers, LangChain, and Agentic AI, reducing manual processing by 40%. Designed Power BI dashboards and automated NLP-based document intelligence pipelines, cutting internal effort by 35%.
Gen AI Intern
Built GitHub and Salesforce AI agents with web scraping pipelines to construct an automated knowledge base. Implemented Long & Short-Term memory in LangGraph agentic workflows for persistent, context-aware agents. Developed a RAG pipeline for Coal-India enabling semantic document search using vector embeddings and FAISS.
Projects
Medical Chatbot
Engineered a RAG-based medical chatbot using Streamlit, LangChain, FAISS, and Groq LLM, enabling semantic querying of PDF-based medical documents with accurate context-aware responses.
PhishShield
Implemented a phishing detection system using Python and Scikit-learn, trained on 50,000+ URLs achieving 95% classification accuracy using advanced feature extraction techniques.
Fine Tuning LLM
Fine-tuned the LLaMA2 7B Chat model using QLoRA on the mlabonne/guanaco-llama2-1k dataset, optimizing training with 4-bit NF4 quantization for efficient resource utilization.
Modern RAG Architecture for Document Insights
Built a scalable Retrieval-Augmented Generation (RAG) API using FastAPI, Celery, Redis, PostgreSQL, and ChromaDB, enabling asynchronous multi-document ingestion and efficient semantic search across large datasets.
Education
B.Tech
Electronic Engineering