Contributed across frontend and backend to an Applicant Tracking System, designing a relational PostgreSQL database, building REST APIs with JWT and OAuth authentication and role-based access control, and documenting endpoints with Swagger.
About Phan Van Phuc
I’m Phan Van Phuc, a computer science student in the Honors Program at VNU-HCM University of Science, graduating in 2026. I enjoy working across the stack to build reliable, useful web applications.
My recent work spans full-stack product development, responsive frontend experiences, secure API design, and retrieval-augmented generation for conversational applications.
Experience
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FEB — MAY 2026
Fullstack Developer Intern · Golden Owl Solution ↗ -
AUG — DEC 2025
Frontend Developer Intern · Shub Solution ↗ Built CRM features and two responsive mobile-first web applications, improved load performance through code splitting and asset optimization, and implemented SSR with SWR.
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MAY — JUL 2025
Frontend Developer Intern · Saigon Solutions (SGS) ↗ Developed a responsive landing page and an Express proxy server for secure contact-form delivery, and implemented CORS-enabled APIs for frontend and backend integration.
Computer Science · VNU-HCM University of Science · Honors Program · GPA 3.3
Selected projects
A web-based hiring platform built across frontend and backend, with secure role-aware APIs, a relational data model, and documented endpoints. Deployed on AWS and monitored with Sentry.
A multi-platform chatbot connecting Facebook, Instagram, and Telegram for real-time messaging, with webhook-based routing and a RAG pipeline for document-grounded answers.
Stack & experiments
I like exploring how thoughtful engineering choices improve the speed, reliability, and usefulness of an application.
Frontend
React, Next.js, Vite, TypeScript, JavaScript, TanStack Query, Zustand, Tailwind CSS
Backend & APIs
Node.js, NestJS, Express, REST APIs, JWT, OAuth, Swagger, MikroORM, TypeORM
Data & infrastructure
PostgreSQL, MySQL, Redis, Docker, Docker Compose, AWS, Sentry, Git
Experiments
RAG pipelines, Gemini embeddings, pgvector semantic search, parallel retrieval, BullMQ processing, SSR with SWR, and performance optimization.
Rewards
Recognition from national and provincial informatics competitions.