Developed a centralized cryptocurrency exchange with a price-time priority matching engine and in-memory order book. Implemented market and limit orders, user balance management, real-time trade execution using WebSockets, persistent storage, and synchronization of orders and account state. Technologies: TypeScript, PostgreSQL, Next.js.
2roles
29skills
1education
2credentials
About
Computer Science and Engineering student building full-stack, real-time, AI-powered, and distributed software systems.
Experience
Open Source Contributor
Meshery
Mar 2026 – Present
Added --model and --output-format flags to component search; fixed search bar responsiveness and clipped action icons; updated documentation and collaborated through the open-source pull request review process.
Open Source Contributor
Bruno (API Client)
Feb 2026
Fixed a UX bug where pressing Enter during variable autocomplete unintentionally triggered form submission.
Education
Ajay Kumar Garg Engineering College
Bachelor of Technology, Computer Science and Engineering
October 2023 - June 2027
Skills
TypeScriptJavaScriptSQLGoC++Node.jsExpressREST APIsNext.jsReactWebSocketsPostgreSQLRedisMongoDBElasticsearchDockerKubernetesAWSGCPLLMsVitePixiJSWebRTCMediasoupSocket.ioOpenAI APIClaude APIJestTailwind CSS
Projects
Engineered a real-time 2D multiplayer virtual world with avatar movement and state synchronization using Socket.io. Built a PixiJS rendering layer and low-latency voice/video communication using Mediasoup SFU. Technologies: Vite, React, TypeScript, PixiJS, WebRTC, Mediasoup, Socket.io.
Built an AI-powered system that generates production-ready Jest unit tests from source code, automates testing workflows through CI pipelines and pull requests, and uses structured prompt pipelines for edge cases, boundary conditions, and assertion correctness. Technologies: Next.js, TypeScript, OpenAI API, Claude API, AWS, Docker.
Built a system that converts natural-language prompts into deployable mobile app templates. Isolated per-user workloads in Docker containers orchestrated with Kubernetes for safe, parallel execution and multi-user scaling. Technologies: Next.js, Node.js, Docker, Kubernetes, LLMs.