Generative AI Engineer with 2 years of hands-on experience in designing, developing, and deploying AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP). Skilled in Python, LangChain, OpenAI, Azure OpenAI, Hugging Face, FastAPI, vector databases, prompt engineering, and scalable AI application development.
Expertise & skills
Selected projects
Enterprise AI Knowledge Assistant
Designed an enterprise knowledge assistant using RAG for document question answering.
- Developed document ingestion and preprocessing pipelines.
- Implemented chunking and embeddings.
- Integrated OpenAI with LangChain.
- Configured ChromaDB.
- Built FastAPI APIs.
- Implemented conversational memory.
- Optimized prompts.
- Performed testing and optimization.
AI Resume Screening Platform
Built an AI recruitment assistant for resume analysis and semantic job matching.
- Built resume parsing pipelines.
- Extracted candidate skills.
- Developed semantic matching.
- Integrated transformer embeddings.
- Built recruiter APIs.
- Improved ranking.
- Optimized processing.
Customer Support AI Chatbot
Built an AI chatbot for automated customer support.
- Developed workflows.
- Integrated OpenAI APIs.
- Designed prompts.
- Managed conversation history.
- Built FastAPI backend.
- Added fallback logic.
- Optimized prompts.
Document Intelligence System
Developed an AI platform for enterprise document indexing and search.
- Built extraction workflows.
- Integrated Azure OpenAI.
- Developed vector search.
- Designed LangChain workflows.
- Improved retrieval.
- Optimized performance.
- Supported deployment.
Ways of working
Certifications
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft Certified: Azure Fundamentals (AZ-900)
- Python for Data Science – NPTEL
- Generative AI with Large Language Models
Education
- 2024
Master of Technology (M.Tech.) – Artificial Intelligence
Gujarat Technological University (GTU)
- 2022
Bachelor of Engineering (B.E.) – Computer Engineering
Gujarat Technological University (GTU)
Achievements
- Designed multiple AI applications using LLMs and RAG.
- Built scalable REST APIs.
- Improved semantic search accuracy.
- Enhanced LLM response quality through prompt engineering.
- Developed production-ready AI solutions.
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