Passionate about building intelligent systems that solve real-world problems.
I specialize in building intelligent systems that solve real-world problems. My work spans across Computer Vision, NLP, and deep learning applications focused on scalability and measurable impact.
From real-time road damage detection to multilingual AI translators, I design systems that combine machine learning with clean engineering practices.
My goal is to contribute to cutting-edge AI innovation while continuously pushing the boundaries of intelligent software.
Current SGPA
Major Projects
Internships
Model Accuracy
Developed real-time AI systems including road damage detection, multilingual translators, and sign language recognition models.
Built Android applications and web-based AI tools focusing on performance, scalability, and clean UI/UX.
Worked on anomaly detection, regression, classification, and forecasting models during internships.