Junaid Arif
js, and Python. I focus on shipping LLM-powered products including AI agents, RAG pipelines, and intelligent automation via the OpenAI API and LangChain.
About
Senior Software Engineer with 6+ years building production-grade full-stack and AI-powered applications using Node.js, React/Next.js, and Python. I focus on shipping LLM-powered products including AI agents, RAG pipelines, and intelligent automation via the OpenAI API and LangChain.
I own end-to-end delivery across frontend and backend (React/React Native through NestJS/Express/FastAPI) with PostgreSQL/MongoDB/Supabase, deployed on AWS with Docker and Kubernetes. I’ve led teams, reduced API response times, and scaled systems for enterprise workloads.
- 6 years' experience
- Joined March 2026
Industry experience
- Software & Internet
- Professional Services
- Education
- Computers & Electronics
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Work experience· 7 roles
Led the development of a cross-platform mobile app using React Native, Expo, and TailwindCSS, enhancing user engagement by 30%. Architected and developed a modular Business Management Ecosystem with SSO, real-time data synchronization, and scalable backend using Node.js, Express.js, and PostgreSQL. Integrated OpenAI API and LangChain for AI-driven workflow automation, increasing team productivity by automating repetitive tasks. Implemented GraphQL APIs for optimized data fetching and complex querying, improving performance and reducing response time by 25%. Worked extensively on cloud-native deployments using Vercel and Supabase for real-time applications and scalable database architecture. Designed and deployed several microservices using Docker and Kubernetes, ensuring containerized environments for smooth scaling.
Led development of a cross-platform mobile app using React Native (Expo) and TailwindCSS, improving user engagement by 30%. Architected and built a modular Business Management ecosystem with SSO, real-time synchronization, and scalable backend using Node.js, Express.js, and PostgreSQL. Integrated OpenAI API and LangChain to automate AI-driven workflow tasks, boosting team productivity. Implemented GraphQL APIs for optimized data fetching and complex querying, reducing response time by 25%. Worked on cloud-native deployments with Vercel and Supabase for real-time apps and scalable databases. Designed and deployed microservices using Docker and Kubernetes to support smooth scaling.
Led the development of Next.js applications with Server-Side Rendering (SSR) and Static Site Generation (SSG) for improved SEO and load time performance. Implemented real-time features using WebSockets and GraphQL subscriptions, enabling live updates without page reloads. Collaborated in creating a modular, scalable architecture, ensuring the app could handle increased traffic with minimal performance degradation. Integrated CI/CD pipelines using GitHub Actions, automating deployment and testing processes for efficient workflows.
Education
Certifications and awards· 6
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