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Full-Stack Developer Intern with MERN stack expertise and AI API integration experience.
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Assessing your cultural and operational fit
Final-year B.Tech CSE (AI) student from GITA Autonomous College, Bhubaneswar, graduating April 2026 with a 7.5 CGPA. Comfortable with JavaScript, React, Node.js, MongoDB, REST APIs, and Git. I have shipped real projects using backend services, API integrations, and database design, and I am actively building my full MERN stack skills. Open to onsite work in Bhubaneswar and keen to grow under experienced engineers in a product-focused team.
GITA Autonomous College
B.Tech · Computer Science Engineering (AI)
November 1, 2022 – April 1, 2026
KBRC School
Class XII · Science
March 1, 2020 – March 1, 2022
E-Commerce Product Pricing - ML Pipeline
June 2, 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
June 2, 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
June 2, 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
Cultural Fit Analysis
The candidate's academic and personal projects demonstrate a proactive approach to learning and applying diverse technologies, including Python, JavaScript, various APIs, and ML. The projects show an interest in full-stack development and AI, aligning with a dynamic, product-focused team. The mention of hackathon environments and collaborative workflows suggests a willingness to engage in team-oriented, fast-paced development. The candidate's stated availability for onsite work in Bhubaneswar and openness to other locations indicates flexibility.
Soft Skills & Operational Fit
The candidate's project descriptions indicate participation in code reviews and iterative debugging, suggesting an understanding of collaborative development workflows. The 'AI Voice Agent Platform' project highlights real-time interaction and deployment assistance, implying a focus on user experience and operational aspects. The 'Multi-Agent Concierge System' project mentions intelligent request routing and load balancing, indicating an awareness of performance and scalability concerns.