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Entry-level Full-Stack MERN Developer with AI integration skills.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.
A score of 65% indicates a solid basic understanding but highlights areas where deeper knowledge and practical application are required for a senior role, especially in advanced algorithms and data processing.
Strengths
Limitations
A score of 77% reflects a strong command of MERN stack fundamentals and practical application, indicating readiness for intern-level tasks with good potential for growth into more complex challenges.
Strengths
Limitations
Cultural Fit Analysis
The candidate's project diversity, including ML pipelines, multi-agent systems, and AI voice platforms, demonstrates a broad technical interest and adaptability. Their experience in hackathons and collaborative project environments suggests a team-oriented approach. The stated openness to onsite work and eagerness to grow aligns well with a dynamic, product-focused team culture. The MERN internship and Python test results indicate a willingness to learn and apply diverse technologies, which is beneficial for cultural fit in an evolving tech environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight participation in code reviews and iterative debugging, suggesting a collaborative mindset and commitment to quality. Their ability to deliver visualisations and metric dashboards indicates an understanding of operational monitoring. The experience with load balancing and session persistence points to an awareness of system reliability and performance. The candidate's profile also mentions being keen to grow under experienced engineers, indicating a positive learning attitude.