Varun

Entry-level Software Engineer / Python Developer with hands-on experience building full-stack REST APIs and role-based dashboard systems using Python (FastAPI, Flask), Node.js/Express, and Next.js/React across relational and NoSQL stores (PostgreSQL, MongoDB, Prisma ORM). Delivered a production-style restaurant operations platform (RBAC, real-time order/kitchen workflows) during a 5-month internship, plus 3 independently built full-stack/ML projects spanning AI-integrated eCommerce, high-throughput leaderboard systems (5.6M+ records), and a deployed MLOps computer-vision pipeline. Strong in OOP, DSA (100+ LeetCode), Docker/CI-CD, and AWS deployment.

Software Developer Intern - Info Tech Brains - Pune

(2025-10 - 2026-02)

Stack: Next.js, TypeScript, React, Node.js, Prisma ORM, MongoDB, Tailwind CSS, shadcn/ui

• Restaurant operations spanned menus, orders, kitchen, and reservations with no unified system; architected a full-stack platform in Next.js/TypeScript with Prisma-modeled MongoDB collections, cutting cross-team handling delays by 15%.
• Sensitive order and revenue data needed role-scoped visibility; implemented RBAC across Admin, Kitchen, and Staff dashboards, eliminating unauthorized data access across 3 distinct user roles.
• Kitchen-to-front-of-house order status was untracked in real time; built a live Kitchen Order Ticket (KOT) workflow and order-status dashboard, reducing order-to-service turnaround by 20%.
• Reservation and review handling was manual and error-prone; developed reservation management and customer review/rating modules, reducing booking-related errors by 25%.
• Deployment and regression risk threatened sprint velocity; authored REST APIs and reusable React/Tailwind components under Git-based code review, sustaining 95%+ build reliability across 9+ iterative releases.

Integrated M.Tech - Software Engineering (BTech + MTech) - Vellore Institute of Technology (VIT) (2020 - 2025) Vellore