Debojeet
"CSE Student & Aspiring AI Full Stack Developer"
About Me
Computer Science undergraduate at ITER Bhubaneswar with a strong foundation in Java, SQL, and algorithmic problem-solving. Currently building scalable full-stack web applications and AI-driven interfaces. Passionate about leveraging data and the MERN stack to solve practical, real-world problems. Prioritizes clean code, scalable infrastructure, and deliberate UX craftsmanship. Actively seeking internship opportunities.
Recognitions & Focus Areas:Tech Stack
Experience
AI Web Development Intern
- ➜ Revamped 8+ UI sections and CTA flows, improving navigation and contributing to 30% higher CTA engagement.
- ➜ Built 15+ reusable components and optimized responsive interfaces, achieving ~20% faster page interactions.
- ➜ Implemented AI/API-driven features and optimized web content, contributing to 10,000+ user reach/impressions.
Projects
KULT ELITE PERFORMANCE
A premium, multi-page cinematic gym website featuring full cross-device responsiveness, dark-theme aesthetic, and a high-conversion sticky mobile CTA.
Krishi-AI Assistant
An AI-powered agriculture assistant helping farmers with crop queries. Integrated Hugging Face API to deliver context-aware, intelligent solutions.
Journey
AI Web Development Intern
InAmigos FoundationRevamped 8+ UI sections and CTA flows contributing to 30% higher CTA engagement, built 15+ reusable components (~20% faster page interactions), and integrated AI/API-driven features reaching 10,000+ impressions.
Hackathon: Trithon 7.0
Krishi-AICollaborative team project building an AI-powered agriculture assistant; integrated Hugging Face API with React and Node.js for context-aware farmer solutions.
Undergraduate
B.Tech in Computer Science & Engineering, ITER BhubaneswarBuilding strong foundations in Data Structures, OOP, SQL, and Web Development architectures.
Early Academics
Kendriya Vidyalaya No.1 Bhubaneswar (CBSE)Graduated Class XII with 79.5% and Class X with 86%.
Let's Build Something Meaningful.
Open for collaborative developments, research projects, or technical conversations on scalable AI stacks.