I'm a final-year B.Tech Artificial Intelligence & Data Science student focused on building practical AI-powered applications, machine learning systems, and backend solutions.

I enjoy working with LLMs, RAG, computer vision, APIs, and scalable application development while exploring cloud technologies and DevOps.

• 🤖 AI / Machine Learning
• 🧠 Generative AI & LLM Applications
• 🔎 Retrieval-Augmented Generation (RAG)
• ⚙️ Backend Development & APIs
• 👁️ Computer Vision
• 🗄️ Database-driven Applications
• 🐳 Docker & DevOps Workflows
• ☁️ Cloud & Deployment Technologies

AI-powered legal document assistant built around Hybrid RAG for document retrieval and context-aware question answering.

Highlights

• 📄 Multi-PDF processing and document retrieval
• 🔎 Semantic search using FAISS and BM25
• 🧠 Context-aware conversational Q&A
• 📚 Source citations and confidence scoring
• 🔐 Authentication and session management
• 🗄️ MySQL database integration
• 🐳 Docker & Docker Compose deployment
• 🔊 Offline Piper TTS support

Tech: Python · Streamlit · Ollama · Qwen3 · Hybrid RAG · FAISS · BM25 · MySQL · Docker

End-to-end predictive maintenance system that uses industrial sensor parameters to estimate equipment failure risk.

Highlights

• 🌡️ Temperature, pressure, vibration and load analysis
• 🤖 XGBoost-based failure prediction
• 📊 Machine learning model comparison
• 🔍 SHAP-based explainable AI
• ⚙️ Flask API for prediction
• 📈 Risk-factor identification

Tech: Python · Flask · Scikit-learn · XGBoost · SHAP · Pandas · NumPy · HTML · CSS · JavaScript

Machine learning project for cattle and buffalo breed classification using transfer learning with MobileNetV2.

Tech: Python · TensorFlow · MobileNetV2 · OpenCV · Roboflow

Test Accuracy: 77%

Web-based asset management application developed using Flask and MySQL.

Highlights

• 🔐 Role-Based Access Control
• 📦 Inventory management
• 🎫 Ticketing module
• 🛒 Purchase approval workflow
• 📊 Dashboard functionality

Tech: Python · Flask · MySQL · HTML · CSS · JavaScript

June–July 2026

• Built Smart Legal Assistance using Hybrid RAG, Ollama/Qwen3, FAISS and BM25.
• Implemented PDF processing, semantic retrieval, multi-document Q&A and offline Piper TTS.

February–March 2026

• Developed interactive dashboards and reports using IBM Cognos Analytics.
• Worked with charts, filters, drill-downs and KPI visualizations.

June–July 2025

• Developed the Purchase Module for an Asset Management System using Python, Flask and Oracle/MySQL.
• Implemented RBAC for secure purchase approval workflows.

B.Tech — Artificial Intelligence & Data Science

Nadar Saraswathi College of Engineering and Technology
Theni, India · 2023–2027

CGPA: 8.00

• Back-End App Development with Node.js and Express — IBM Developer Skills Network
• IBM Cognos Analytics — AdroIT Technologies Innovative Solutions Pvt. Ltd.
• PL/SQL 101 — Infosys Springboard
• Data Science and Analysis — RevampAcademy
• Database Fundamentals: Database Concept — Infosys Springboard
• DataLabeling Job Simulation — Forage

• Generative AI & LLM applications
• Advanced RAG architectures
• AI agents and automation
• Backend systems & APIs
• Cloud technologies
• Docker & DevOps
• Production-ready AI applications