I code

Aryan Tah  • Peerlist

Led a team of four to design and develop an interactive chess game featuring Stockfish-powered AI opponents, local 1v1 mode with dynamic board flipping, predictive move arrows, and smooth animations with sound-based feedback. Oversaw the full development lifecycle using a Kanban board to organize sprints and task assignments, ensuring consistent progress and collaboration. Architected modular systems following OOP and SOLID principles for scalability and maintainability. Implemented automated unit testing and integrated a GitHub Actions CI/CD pipeline to enforce code quality and continuous validation. Focused on delivering a polished, player-centered gameplay experience that combined performance, usability, and clean design.

Animated Chess

Developed an AI-powered course management and study platform featuring agentic orchestration for automated document generation, a microservice-based architecture, and an open-source LaTeX-to-PDF integration. Implemented a RAG system with Redis VectorDB for user memory, integrated Canvas and Google Calendar APIs, and utilized AWS S3 for secure file storage. Built a concurrent, model-agnostic AI inference engine in TypeScript, achieving sub-100 ms response time and 30% lower memory usage.

StudyBuddy

Collaborated in an open-source Discord music bot, built with Discord.js, became a favorite among developers and users. It allowed seamless music streaming within Discord servers, offering features like search, playback control, and integration with popular music sources like youtube and spotify playlists. By sharing the code publicly, I fostered collaboration and enriched the open-source community.

Discord Music Bot

Ascentio

Developed a secure and user-friendly voting system for our school elections used by over 3000 students using ReactJS, CSS, and Firebase. This web application facilitated student voting for captains and presidents, provided real-time results, and streamlined the election process for our school.

Voting System

I developed an AI-powered application that leverages machine learning algorithms to recommend recipes based on available ingredients. The application integrates the OpenAI API to deliver highly accurate results and features a user-friendly interface built with Next.js. To enhance security, it includes sign-in and OTP authentication using Clerk. Additionally, I implemented a payment gateway using the Stripe API, enabling users to purchase memberships or tokens for accessing the bot.