Off-Road Semantic Segmentation
Built an off-road semantic segmentation pipeline for autonomous navigation using DINOv2 and a high-resolution U-Net decoder.
From computer vision pipelines to full-stack architecture, I build end-to-end systems that solve real-world problems.
Selected research, computer vision pipelines, machine learning systems, and full-stack software applications.
Let’s Build Something →Built an off-road semantic segmentation pipeline for autonomous navigation using DINOv2 and a high-resolution U-Net decoder.
End-to-end system for estimating PM2.5 concentrations from satellite AOD data with an interactive visualization dashboard.
A full-stack event registration application with event creation, registration and MongoDB-backed data management.
AI-focused healthcare web application combining a modern React interface with backend services.
A productivity-focused study platform designed to help students organize and improve their learning workflow.
Building developer community engagement and conducting industry research to identify emerging technologies and strategic growth opportunities.
I contribute to building GDGoC GU’s online presence through sharp, engaging technical content. I help shape the visual and narrative style of our social media platforms and developer community initiatives.
Track emerging industries, roles, and technical skills. Conduct competitor and market research to identify content opportunities and strategic growth areas.
Core languages, machine learning frameworks, full-stack technologies, and developer tools.
Strong computer science foundation combined with competitive programming practice and continuous technical growth.
Have an idea, project, internship opportunity or just want to connect?