About me
Developer
I am a Computer Science and Engineering graduate at RV College of Engineering (RVCE), driven by a passion for innovation, problem-solving, and building impactful technology. My experience spans Artificial Intelligence, cloud-native systems, and full-stack development, with hands-on contributions through internships and research initiatives at Samsung Prism, Indxo.AI, and HPCC. Throughout my journey, I have worked on developing scalable, real-world solutions, contributing to research and development efforts, and transforming complex ideas into practical applications.
I am particularly interested in generative AI, intelligent automation, cloud computing, and modern software engineering practices that bridge innovation with real-world impact. My work focuses on designing efficient systems, optimizing workflows, and leveraging emerging technologies to solve challenging problems. Whether it involves building AI-powered applications, developing cloud-native solutions, or creating end-to-end software systems, I enjoy turning ideas into reliable, scalable, and user-focused products.
Beyond technical execution, I thrive in collaborative environments, enjoy mentoring peers, and value continuous learning. I believe that the best solutions emerge from a combination of curiosity, teamwork, and a commitment to excellence. My goal is to build technology that is not only innovative and intelligent but also practical, scalable, and impactful. As an aspiring engineer, I am always eager to explore new technologies, contribute to meaningful projects, and create solutions that make a difference.
Always learning. Always building. Always growing.
Technologies
Experience
AI Engineering Intern
FlyRank AI
Working on AI-powered tools and workflows spanning Claude Cowork, SEO optimization, and intelligent automation.
Intern
HPCC Systems
Developed an advanced ship detection model using YOLOv8 with RADAR imagery. Implemented trajectory tracking to monitor vessel movements and built animated visualizations of maritime traffic patterns.
Project Intern
Indxo AI Private Limited
Built a cross-platform React Native mobile app for real-time equipment diagnostics and field operations. Designed a .NET backend API with Entity Framework and Azure SQL, and implemented RBAC, machine-location linkage, and offline sync via SQLite.
Web Development Intern
Zidio Development
Built a full-stack Excel analytics platform with dynamic data mapping, 2D/3D chart generation, and JWT-secured dashboards. Developed a blogging platform with rich text editing, comments, and admin management using Node.js, Express.js, and MongoDB.
Research Intern
Samsung R&D Institute India - Bangalore
Developed a four-step diffusion model for text-to-image generation using knowledge distillation. Trained Rectified Flow-based teacher-student models on CIFAR-10 and MSCOCO 2017. Built a Flask web interface for interactive inference with gallery storage.