I'm an AI/ML Engineer who loves turning ideas into real-world solutions. With a background in research and hands-on experience building intelligent systems, I enjoy exploring how technology can make everyday life smarter and more meaningful. I'm always excited to collaborate, learn, and build what’s next—together.
I’m an AI/ML Engineer with nearly two years of experience building machine learning solutions that prioritize both performance and real-world usability. My work blends accuracy with efficiency, making complex AI models easy to deploy, even on lightweight, edge-based devices.
My journey began with computer vision and image processing, where I developed real-time applications such as object tracking, document scanning, and lane detection. These projects helped me understand how to build responsive, visually intelligent systems that perform reliably in dynamic environments.
More recently, I have built interactive generative AI applications driven by multiple collaborative agents, each responsible for specific tasks like answering questions, retrieving insights, or summarizing information. I have also fine-tuned large language models and turned them into production-ready tools by building intuitive APIs and deploying them across cloud platforms. In every project, I focus on creating AI that is practical, reliable, and designed to make a meaningful impact.
An intelligent multi-agent system that maintains contextual awareness in conversations.
Tech: LangGraph, LLMs, FAISS, FastAPI
A knowledge management solution that transforms unstructured corporate documents.
Tech: Amazon Bedrock, LangChain, Claude, FastAPI
An intelligent navigation solution for autonomous vehicles that combines multiple sensory inputs.
Tech: OpenCV, CUDA, Jetson, PID Control
A ML-based time-series regression model for accurate phasor current estimation in power grids.
Tech: CNN-LSTM, TensorFlow, Edge Deployment
A real-time Rock-Paper-Scissors game using MediaPipe and OpenCV to detect hand gestures and play against an AI opponent.
Tech: Mediapipe, Python, Data Structures
A computer vision system that detects eye closure in real time to alert against potential drowsiness.
Tech: OpenCV, Haar Cascade Classifiers
Jan 2025 - Present
Developing advanced V2X systems with computer vision and LLMs for real-time hazard detection and safety communication.
Feb 2023 - Jul 2023
Contributed to enterprise-level API systems that power property management solutions, improving performance and reliability for thousands of users.
May 2021 - Aug 2022
Developed computer vision solutions for autonomous navigation systems, enabling vehicles to recognize traffic signs and obstacles in varied conditions.
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