About Me
I'm a Generative AI Engineer with 3 years of experience applying LLMs, RAG pipelines, and cloud technologies to solve real-world challenges in healthcare and finance. Passionate about building intelligent, scalable AI systems that automate decision-making, extract insights from documents, and improve operational efficiency.
Education
B.Tech in Electrical and Electronics Engineering
Amrita Vishwa Vidyapeetham, Tamil Nadu
2018 – 2022
Work Experience
Generative AI Engineer – Cognizant Technology Solutions
June 2022 – Sept 2025- Built and deployed AI pipelines integrating LLMs with domain-specific knowledge bases.
- Improved automation and accuracy of business workflows using LangChain and LangGraph.
Projects
Smart Azure Document Extraction App
- Developed a Streamlit web app that extracts structured data from diverse documents using Azure Document Intelligence and Azure OpenAI.
- Automatically detects document type — IDs, invoices, receipts, contracts, and certificates — and applies the right extraction model.
- Combines Azure's prebuilt extraction models with GPT-based structuring for generic layouts and complex documents.
- Tech Stack: Streamlit, Azure Document Intelligence, Azure OpenAI.
Prior Authorization for Prescribed Medication
- Built a RAG-based AI system for determining medication reimbursement eligibility.
- Used EHR, Drug, and Policy data to automate decisions: Approval, Denial, or More Info.
- Tech Stack: LangGraph, LangChain, Gemini, FastAPI, Streamlit, GCP.
- Reduced manual effort by 40%, improved accuracy by 30%.
AI Utility Suite – AI Productivity SaaS Platform
- Designed and built a full-stack AI SaaS platform providing multiple productivity utilities under a single dashboard.
- Features include meeting transcription and summarization, document summarization, and document-based Q&A using RAG.
- Implements secure authentication, JWT-based authorization, subscription plans, and usage-based limits.
- Cloud-ready architecture with a Streamlit frontend and FastAPI backend, designed for scalable deployment.
- Tech Stack: Streamlit, FastAPI, OpenAI, FAISS, Firebase Auth, Redis, GCP.
Finance Compliance – Screening Agent (RAG-based SDN Checker)
- Developed an AI compliance tool that screens financial data against the SDN (OFAC) list.
- Implements a RAG pipeline to identify sanctioned entities and prevent violations.
- Tech Stack: LangChain, LangGraph, OpenAI Embeddings, FAISS, Python, Streamlit.
Smart Database AI Assistant – Text or Voice RAG Queries
- Built an AI system to query relational databases through text or voice using LLMs.
- Supports natural language questions like “Show me last quarter’s revenue growth.”
- Tech Stack: LangGraph, PostgreSQL, SQLAlchemy, LangChain, Whisper, Streamlit.
Voice Assistant Chatbot – Real-Time Speech AI
- Built a real-time voice-enabled conversational assistant with end-to-end speech interaction.
- Supports speech-to-text input, LLM-powered responses, and text-to-speech output.
- Includes multi-language support, configurable voice settings, and session-safe API key handling.
- Optimized for public cloud deployment with no persistent storage dependencies.
- Tech Stack: Streamlit, OpenAI Whisper, GPT-4o, Google Text-to-Speech (gTTS).
PDF Document Summarizer – Orchestrator Supervisor Model
- Implemented a hierarchical summarization system using orchestrator-supervisor model logic.
- Extracts structured summaries from lengthy PDFs like research papers or contracts.
- Tech Stack: LangGraph, GPT-4, PyMuPDF, FastAPI, Streamlit.
Meeting Summarizer AI and Take Actionable Insights
- Designed an AI assistant that automatically summarizes meetings and extracts key action items.
- Uses speech-to-text, LLM summarization, and sentiment analysis for context-aware summaries.
- Tech Stack: Whisper, LangChain, OpenAI GPT-4o, FastAPI, Streamlit.
Skills
Python
FastAPI
Git
Machine Learning
Deep Learning
Computer Vision
NLP
Prompt Engineering
LangChain
LangGraph
LangSmith
RAG
Azure AI Search
Azure CosmosDB
MySQL
FAISS
Applied Statistics
Let's Connect
+91 9345886379