
Entry-level Full-Stack MERN Developer with AI integration skills.
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I’m Dishant Kumar Mohapatra, a final-year B.Tech CSE (AI) student from GITA Autonomous College, Bhubaneswar, graduating in April 2026 with a 7.5 CGPA. I work with JavaScript, React, Node.js, MongoDB, and REST APIs, and have built real projects — including a multi-agent backend system, a production AI voice app, and an ML pipeline for the Amazon ML Challenge — so I’m comfortable across the full stack.
GITA autonomous college
B.Tech · Computer Science Engineering- AI
October 31, 2022 – April 30, 2026
GauravGo Games Technologies Pvt. Ltd.
Web Development Intern (MERN)
April 30, 2024 – June 30, 2024
India
E-Commerce Product Pricing — ML Pipeline
April 1, 2026 – Present
End-to-end data pipeline and ML model for predicting e-commerce product prices — showcasing data handling, backend logic, and analytics integration. Processed and cleaned 10,000+ product listings, building a robust data pipeline with an 85/15 train-validation split. Built ensemble ML model achieving 18-22% SMAPE, outperforming baseline by 12% through feature engineering. Delivered visualisations and metric dashboards to track model performance — relevant to analytics and BI integration in web apps.
Multi-Agent Concierge System
April 1, 2026 – Present
Python + JavaScript full-stack system handling restaurant recommendations, activity planning, and bookings — demonstrating backend API design, database integration, and scalable architecture. Built REST API backend with intelligent request routing and load balancing, achieving sub-millisecond agent orchestration. Integrated MongoDB for session persistence, reducing memory overhead by 40% while maintaining sub-300ms API response times. Designed modular backend services following separation-of-concerns principles — directly applicable to Express + Node.js architecture. Participated in code reviews and iterative debugging cycles to improve reliability and performance.
AI Voice Agent Platform
April 1, 2026 – Present
Production-ready conversational web application integrating OpenAI API with a custom backend — demonstrating full-stack thinking, API integration, and frontend-backend communication. Built stateful backend service managing multi-turn conversation context — mirrors session handling in Node.js/Express applications. Integrated third-party AI API with custom prompt engineering, handling authentication, request/response cycles, and error states. Developed frontend UI components with real-time interaction, achieving 85%+ task completion rate in production. Assisted with deployment, debugging, and performance optimisation across the full stack.