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Aditya Singh

@adityasingh27

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Full Stack Developer focused on shipping production React Native and Next.js apps with real-time performance.

India

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What I'm looking for

I want to build and own full-stack products end-to-end—shipping React Native/Next.js apps, optimizing performance, and adding real-time features. I’m at my best in fast-moving teams that reward ownership, clean architecture, and high output.

I’m a Full Stack Developer with two internships and hands-on React Native (Expo) and Next.js experience, shipping production mobile and web applications backed by Node.js/Express.js APIs. I built GoVigi as both a Next.js web app and a React Native mobile app, owning the full feature lifecycle end-to-end, and delivering zero-downtime releases through GitHub CI/CD.

I bring a strong foundation in MongoDB, REST API design, WebSockets, and real-time systems. In my 3Skill internship, I owned REST API redesign, cutting response time ~20% by eliminating redundant database round-trips and implementing JWT authentication, and I improved MongoDB query load ~15% via targeted index tuning. In my AI/ML internship, I improved ML model accuracy from 70% to 85% by owning the pipeline from data ingestion to evaluation and delivering a production-ready Python ML pipeline on schedule.

Experience

Work history, roles, and key accomplishments

Full Stack Dev Intern

3Skill

Jan 2026 - Mar 2026 (2 months)

Owned a REST API redesign, cutting response time by ~20% by removing redundant database round-trips and implementing JWT authentication, with zero rollbacks. Reduced MongoDB query load ~15% via index tuning, and handled end-to-end deployments of React and Node.js/Express.js apps to Render and Vercel.

RESTful API Design JWT MongoDB Query Optimization React Hooks Git Github Vercel Socket.IO

AI / ML Intern

Istudio

Aug 2025 - Sep 2025 (1 month)

Improved ML model accuracy from 70% to 85% (+15 percentage points) through feature engineering and hyperparameter tuning, owning the end-to-end pipeline from ingestion to evaluation. Delivered a production-ready Python ML pipeline in a 6-week sprint and produced independent architecture and evaluation documentation for maintainability.