Aspiring Software Engineer
I build scalable, real-world solutions using AI and full-stack development. Combining strong engineering fundamentals with product thinking to create meaningful impact.
I’m a final-year Computer Science student at Vellore Institute of Technology with a strong interest in building intelligent and scalable applications, specializing in full-stack development and AI-driven systems. I have a strong foundation in Data Structures, Algorithms, Low-Level System Design, and Backend Engineering using Django. I also enjoy exploring the domains of Machine Learning and Data Analytics to solve real-world problems. I’m passionate about solving complex problems through code, continuously learning, and building impactful solutions.
AI-based crop disease detection system.
Built a CNN-powered web application using Django that detects crop diseases with 97% accuracy. Designed an efficient pipeline for image upload, model inference, and real-time results. Helps reduce crop loss by up to 40%.
Digital ration distribution system.
Developed a scalable ration management platform with 99.9% uptime. Automated workflows and implemented real-time tracking, reducing operational costs by 45% while improving accessibility.
I bring a strong developer mindset with product-level thinking. I focus on building scalable, efficient, and user-centered solutions that create measurable impact.