Rimjhim Singh

San Jose, CA | (607) 296-9734 | rimjhimsingh5232@gmail.com

SUMMARY

Software Developer with 1.5+ years of experience in full-cycle application design and development. A creative problem-solver dedicated to building, scaling, and optimizing impactful, metric-driven software solutions from end-to-end.

EDUCATION

Binghamton University

New York, USA

Master of Science - Computer Science

May 2025

Coursework: (GPA: 3.81/4.0) - Operating Systems, Systems Programming, Design & Analysis of Algorithms, Computer Security, Programming Languages, Design Patterns, ML, Artificial Intelligence, Data Mining, Research

TECHNICAL SKILLS

Programming Languages: JavaScript (ES6+), TypeScript, Python, Java, C++, SQL, HTML5, CSS3

Frameworks & Libraries: React.js, Redux, Node.js, Express.js, Next.js, Spring Boot, TailwindCSS, Jest, Babel

Backend & APIs: RESTful APIs, GraphQL, JWT Auth, Serverless Functions (AWS Lambda), WebSockets

Databases & Caching: PostgreSQL, MySQL, MongoDB, Redis, Firebase Realtime DB

Cloud & DevOps: AWS EC2, Docker, Kubernetes, GCP, Unix/Linux Environments, GitHub Actions, CI/CD Pipelines

Tools: Git, GitHub, npm, Webpack, Figma, Postman, Selenium, VS Code, OpenAI API, GitHub Copilot

PROFESSIONAL EXPERIENCE

Binghamton University

Binghamton, NY

Software Engineer

Mar 2024 – Present
  • Replaced a $30K/year legacy tool with a full-stack evaluation system (Flask, React, MySQL), automating data migration from Google Sheets to MySQL to reduce faculty data entry time by 80% and scale across 5 departments.
  • Achieved 95% user satisfaction (surveyed 120 users) with an interactive React + Chart.js dashboard, enabling students to track personalized competency trends and providing faculty a first-ever tool to visualize specific student coaching needs.
  • Engineered an AI semantic search by integrating the OpenAI API with the Flask backend, to query student data via natural language and reducing complex trend analysis from hours to seconds.
  • Improved Lighthouse score by 40% via profiling, React.memo, code splitting, & component lazy loading.
  • Cut deploy failures by 75% by building a CI/CD pipeline (GitHub Actions) that automated pytest & linting for internal servers.
  • Secured grant funding from the American Physical Therapy Association and a university-wide rollout by presenting project outcomes and metrics to a 100+ member board.

Nourishing Schools Foundation

Bangalore, India

Software Engineer Intern

Mar 2022 – Jun 2022
  • Designed (Figma) and built a game-style SPA (React, Tailwind) for a 500+ student pilot (ages 4-12) across 3 schools, achieving full WCAG 2.1 AA compliance.
  • Engineered the backend game logic (Node.js, REST APIs) to validate student choices (e.g., selecting healthy ingredients) and guide users through the educational recipe-building module.
  • Ensured a successful day-one launch by authoring an API integration test suite (Postman) that caught critical bugs pre-production and performing rigorous low-bandwidth & cross-browser testing.

FACE prep

Coimbatore, India

Technical Research and Design Intern

Oct 2021 – Dec 2021
  • Led full-stack enhancements (JavaScript, MySQL) for a data-driven web app to deliver dynamic, mobile-friendly content.
  • Cut page load times by 20% by normalizing the MySQL schema, optimizing SQL queries, and implementing API pagination.
  • Lifted organic traffic by 15% by refactoring legacy pages and implementing structured data and semantic HTML.

PROJECTS

Netflix-GPT – AI-Powered Movie Recommender:

  • Built a full-stack, AI-powered recommender (React, Redux, Tailwind) integrating OpenAI GPT-3.5 and TMDB APIs.
  • Engineered a scalable UI with reusable Redux slices and secured Firebase Auth (incl. Google OAuth).
  • Boosted API and route performance by 35% using Redis caching, memoized hooks, and lazy loading.
  • Deployed on AWS EC2 with Docker and automated the CI/CD pipeline using GitHub Actions for zero-downtime rollouts.

DelishDish – Real-Time Restaurant Discovery Platform:

  • Designed a real-time restaurant discovery app with dynamic search/filtering using React, Redux Toolkit, and TailwindCSS.
  • Improved load performance by 45% by architecting a reusable UI with custom hooks for API fetching and caching.
  • Normalized state & memoized selectors to eliminate re-renders, ensuring snappy search/PDP/checkout (verified React Profiler).