I am an AI & Machine Learning Developer focused on building intelligent software that can move from experimentation to real-world applications.

My interests span Computer Vision, Large Language Models, AI Agents, MLOps, and Full-Stack AI integration.

I enjoy working across the stack — from training and evaluating models to building APIs, applications, and deployment infrastructure around them.

Currently, I am expanding my expertise in AI agent systems, LangGraph, FastAPI, PostgreSQL, Docker, and scalable ML workflows.

Python PyTorch TensorFlow Scikit-learn OpenCV YOLO
Computer Vision NLP LLMs AI Agents

FastAPI Flask React JavaScript REST APIs
PostgreSQL Supabase Firebase

Docker Git GitHub Actions MLOps
API Development Clean Architecture

VS Code Jupyter RStudio Figma

AI-Powered Academic Assistant

An AI-driven academic assistant designed to help students with planning, guidance, and personalized interactions.

Highlights

• Integrated Google's Gemini API for conversational intelligence
• Designed an AI-agent-based interaction workflow
• Focused on practical student support and personalized responses

Tech Stack

Python Gemini API AI Agents

Computer Vision Accessibility System

A real-time computer vision system designed to recognize sign-language gestures using webcam input.

Highlights

• Trained custom YOLO models for gesture detection
• Explored American Sign Language (ASL) and Indian Sign Language (ISL)
• Implemented real-time inference using OpenCV
• Integrated the detection system with a Flask backend

Tech Stack

Python YOLO OpenCV Flask

Web-Based Productivity Application

A responsive productivity application designed for managing tasks and personal workflows.

Highlights

• User authentication
• Real-time database synchronization
• Responsive interface
• Task and workflow management

Tech Stack

React Firebase Tailwind CSS

I am currently focused on building stronger expertise in:

AI Agents · LangGraph · Large Language Models · Computer Vision · FastAPI · PostgreSQL · Docker · MLOps

My goal is to build AI systems that are maintainable, scalable, and production-ready.