Nithin User

I’m an aspiring AI/ML Engineer and Data Science enthusiast with strong foundations in machine learning, deep learning, and computer vision. I focus on building real-world AI solutions that translate data into usable outcomes.

I’ve developed an AI-powered ANPR system for Indian vehicle number plate detection and OCR, using Python, OpenCV, and EasyOCR. I designed the preprocessing, detection, and OCR pipeline and mapped license plates to RTO data for vehicle identification.

Beyond computer vision, I created a real-time weather forecasting web app using the OpenWeatherMap API and built a responsive UI with HTML, CSS, and JavaScript. I enjoy connecting data sources to applications so features feel practical and dependable.

As an AI/ML & Software Testing Intern, I built and tested ML pipelines with Python and OpenCV, working through preprocessing, model evaluation, debugging, and functional/regression testing. I also bring a strong problem-solving mindset from solving 600+ problems as a Subject Matter Expert at Chegg and earning a top rank in a coding competition.