About me

I'm Dinh Dai Vu — a Year 3 IT student at VNUHCM – University of Science (GPA 3.52/4.0) and Software Engineer Intern at i-stech. I build full-stack platforms, cloud data pipelines, and backend systems. This is where I share my projects and writing on software engineering.

Tech stack

Languages

Python TypeScript Java Go

Frameworks

Angular Next.js FastAPI Spring Boot

Databases & Tools

PostgreSQL Oracle Git Docker AWS GCP Kafka

Timeline

2023

Enrolled at VNUHCM – University of Science, IT major; achieved IELTS 6.0

2024

ICPC Vietnam Provincial Programming Contest — Provincial Qualifier

2025

Advanced coursework in databases, software engineering, and AI; built this portfolio site

2026

Software Engineer Intern at i-stech — built PEP platform and led TTA analytics migration to AWS

Experience

i-stech

Software Engineer Intern

Jan. 2026 – Present

Ho Chi Minh City, Vietnam

TTA Analytics Platform Migration

Apr. 2026 – Present

  • Spearheaded the migration of the TTA analytics platform to AWS, architecting scalable data pipelines to process 2.6 GB of socioeconomic data across 13 relational datasets
  • Optimized ingestion workflows for files exceeding 28 million rows, forecasting demographic and economic trends for 1,741 municipalities and 107 industry sectors through 2050

PEP Project Management Platform

Jan. 2026 – Present

  • Developed PEP, a full-stack project management platform using FastAPI, Next.js, Supabase, Stripe, and cloud services
  • Architected robust payment workflows integrating bank transfers and Stripe, implementing complex refund logic to manage customer balance debits and next-invoice adjustments
  • Engineered automated background jobs to manage the billing lifecycle and bidirectionally synchronize Stripe events, eliminating manual tracking and saving an estimated 10 hours of manual data entry per week

Education

VNUHCM – University of Science

Bachelor of Science in Information Technology

GPA: 3.52 / 4.0  ·  8.11 / 10

Sep 2023 – Aug 2027  ·  109 credits

Relevant Coursework

Applied Statistics for Engineers 9.80 / 10
Enterprise Information Systems 9.70 / 10
Discrete Mathematics 9.30 / 10
Database Management Systems 9.00 / 10
Linear Algebra 9.00 / 10
Advanced Databases 8.90 / 10
Object-Oriented Programming 8.70 / 10
Operating Systems 8.70 / 10
Fundamentals of Artificial Intelligence 8.60 / 10
Introduction to Software Engineering 8.20 / 10

Contact

Feel free to reach out if you want to chat about software, databases, ML, or building things.

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