Behind the code.

Technical Skills

Languages

JavaScript, Python, C, C++, SQL

Frontend & Testing

React.js, Next.js, Tailwind CSS, Redux Toolkit, RTK Query, TypeScript, Material UI, Vitest, Jest

Backend

Django, Django REST Framework, FastAPI, Node.js, Express.js, REST APIs, Redis

Databases

PostgreSQL, MongoDB, MySQL, Firestore

Cloud & DevOps

AWS, Docker, Linux

Tools & Technologies

Git, GitHub, GitLab, OpenSearch, Postman

Experience

• Software Development Intern

  September 2025 - Present

  Josh Technology Group (JTG), Gurugram

  • Developed 2 production-grade React dashboards using Redux, supporting 1000+ examinations through data aggregation, analytics, and workflow management, enabling faster operational insights.
  • Built a backend-driven dynamic form renderer using React Hook Form and Yup, featuring 4 configurable parameters and an extensible architecture for new field types and validation rules, simplifying the integration of configurable forms across the application.
  • Resolved app-wide caching issues and optimized data-fetching strategies, improving page load times by 25%.
  • Created a centralized examination email notification system using Python, ARQ, and scheduled background cron jobs to automate collaborator reminders across workflows, improving overall user productivity.
  • Optimized existing result publishing flow by reducing database queries by 10% and developing cleanup scripts for stale participant records across 500+ participants per event, resulting in a 45% reduction in processing latency.

Projects

• BookMovies - Movie Booking Web Application

  Backend RepoFrontend Repo

  Scalable movie ticket booking platform with location-based movie and cinema discovery

  • Architected a centralized data layer using RTK Query, integrating multi-token authentication, automatic token refresh through API interceptors and request deduplication to standardize data fetching and server-state management across the application.
  • Engineered reusable custom hooks and components, including an infinite scroll solution powered by the Intersection Observer API, reducing duplicate logic while supporting efficient cursor-based pagination.
  • Implemented serializable URL-based filters for movies, cinemas, and slots, enabling bookmarkable searches, SEO-friendly shareable URLs, and improved content discoverability.
  • Ensured reliable concurrent seat booking through atomic database transactions, eliminating race conditions and maintaining 100% seat allocation consistency across concurrent booking requests.

• The Willow Paradise - Hotel Management Solution

  Employee PortalUser Portal

  Full-stack hotel reservation platform with dedicated employee and customer portals

  • Streamlined hotel operations by designing an employee-facing management portal using TanStack Query, Styled Components, and Supabase, featuring analytical dashboards, reservation management, and role-based operations to efficiently manage 1000+ reservations.
  • Delivered a user-facing hotel reservation platform in Next.js with Context API, integrating secure authentication with NextAuth, profile management, and self-service booking across 7+ cabin categories, allowing customers to independently create, modify, and cancel reservations.

Achievements

• Appointed and served as President of Computer Engineering Society, MMMUT, Gorakhpur, leading and managing 6+ district and university level coding events during the session 2025-26
• 1500+ Coding Problems Solved across all platforms
• 3 Stars with Max Rating of 1604 on CodeChef
• Max Rating of 1658 on LeetCode
• Finalist, Smart India Hackathon at university level

Education

• Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh

  2022-2026

  Bachelor of Technology in Computer Science and Engineering

  CGPA: 8.41

  Relevant Coursework: Database Management Systems, Operating Systems, Computer Networks

Technical Skills

Languages

Python, C, C++, SQL, JavaScript

Backend

Django, Django REST Framework, FastAPI, Node.js, Express.js, REST APIs, Microservices, Redis, ARQ

Databases

PostgreSQL, MongoDB, MySQL, Firestore

Cloud & DevOps

AWS, Docker, Linux

Tools & Technologies

Git, GitHub, GitLab, OpenSearch, Postman

Frontend & Testing

React.js, Next.js, TypeScript, Material UI, Vitest, Jest

Experience

• Software Development Intern

  September 2025 - Present

  Josh Technology Group (JTG), Gurugram

  • Built a centralized examination email notification system using Python, ARQ, and scheduled background cron jobs to automate collaborator reminders across workflows, improving overall user productivity.
  • Optimized existing result publishing flow by reducing database queries by 10% and developing cleanup scripts for stale participant data across 500+ participant records per event, resulting in a 45% reduction in processing latency.
  • Automated local development environment setup using Bash scripts for initializing OpenSearch Docker containers, starting Redis clusters, index creation, and swap memory configuration, saving 80% of initial setup time.
  • Developed a production-grade dashboard in React using Redux, supporting 1000+ examinations with data aggregation and analytics enabling faster operational insights.
  • Resolved app-wide caching issues and optimized data-fetching strategies, improving each page load time by 25%.

Projects

• BookMovies - Movie Booking Web Application

  Backend RepoFrontend Repo

  Scalable movie ticket booking platform with location-based movie and cinema discovery

  Tech Stack: Python, Django, Django REST Framework, PostgreSQL, JWT, React, RTK Query.

  • Built RESTful APIs for movie discovery, cinema management, slot scheduling, and seat booking with cursor pagination, filtering, sorting, and search support for 1000+ movies and cinemas. Implemented multi-token JWT authentication with secure multi-device (browser and mobile based) access and leveraged atomic transactions to prevent race conditions during concurrent seat booking. Reduced redundant API calls through RTK Query caching and request deduplication, improving data-fetch performance by 60%.

• SentiLearn - ABSA Based Course Analyzer

  GitHub Link

  Aspect extraction and sentiment analysis from large-scale YouTube comment datasets

  Tech Stack: Python, BERT, PyABSA, Flask, MongoDB, React.

  • Built an Aspect-Based Sentiment Analysis (ABSA) system using a BERT-based transformer model to classify sentiments across predefined aspects from YouTube comments.
  • Achieved 85% accuracy in sentiment classification across predefined aspects on both previously and newly collected reviews.

Achievements

• Appointed and served as President of Computer Engineering Society, MMMUT, Gorakhpur leading and managing 6+ district and university level coding events during the session 2025-26
• 1500+ Coding Problems Solved across all platforms
• 3 Stars with Max Rating of 1604 on Codechef
• Max Rating of 1658 on Leetcode
• Finalist, Smart India Hackathon at university level

Education

• Madan Mohan Malaviya University of Technology, Gorakhpur, Uttar Pradesh

  2022-2026

  Bachelor of Technology in Computer Science and Engineering

  CGPA: 8.41

  Relevant Coursework: Database Management Systems, Operating Systems, Computer Networks