At National Institute of Technology, Kurukshetra, I’m pursuing a B.Tech in Artificial Intelligence and Machine Learning. My work spans research, data analysis, machine learning, and generative AI projects.
In my Parkinson’s disease detection and rehabilitation research, I analyzed gait and movement characteristics and investigated temporal patterns in gait signals for data-driven classification and rehabilitation-oriented analysis.
I built an automated market intelligence pipeline that collects, validates, transforms, and analyzes Indian equity-market data from public REST APIs. I also created Power BI dashboards to communicate findings.
I’m developing a research-paper question-answering system using document extraction, text chunking, embeddings, and FAISS similarity search, with an LLM generating responses grounded in retrieved passages. In a liver ultrasound segmentation project, I developed and evaluated U-Net, UNet++, and Dense-PSP-UNet models, achieving 95% accuracy, a 0.94 Dice score, and 0.88 IoU.
