Scored 95.6% in 10th grade (CICSE board), reflecting strong academic performance and dedication.

Secured 90.6% in 12th grade (AISSCE board), highlighting strong academic performance and consistent dedication to studies.

Pursuing a Bachelor of Technology in Computer Science and Engineering with a CGPA of 9.45, demonstrating strong technical skills, academic excellence, and a commitment to continuous learning in the field of technology and innovation.

I worked on a breast cancer prediction project using YOLOv8 to detect microcalcifications in mammograms, achieving 82% mAP by breaking the mammograms into several patches and applying attentional training. I also designed an efficient pipeline and co-authored a research paper, demonstrating strong analytical and writing skills.

Building and maintaining AI data pipelines to automate model training and deployment workflows.Developing backend APIs and services using Node.js and Express to support AI-driven features.– Worked closely with ML and DevOps teams to integrate scalable AI solutions into client products