Welcome to my portfolio

Bui Hai Duc Software Engineering Intern

software_engineering_profile.yaml

---
user:
  name: "Bui Hai Duc"
  role: ["Software Engineering Intern"]
  orientation: "DevOps"
  current_internship:
    company: "NestScale"
    position: "Software Engineer Intern"
    location: "Đê La Thành, Hà Nội"

education:
  university: "University of Transport and Communications"
  year: 3
  gpa: 3.4

core_focus:
  - Backend Engineering
  - Docker & Containerized Deployment
  - CI/CD Pipelines
  - Linux Operations

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About

Career Objective

Currently pursuing Software Engineering with a DevOps orientation, applying backend development, Docker, CI/CD, and Linux operations in real project environments. Aiming to build reliable software systems while improving deployment quality and operational efficiency.

Personal Information

Full Name: Bui Hai Duc
Position: Software Engineering Intern
Orientation: DevOps
Current Internship: Software Engineer Intern at NestScale, Đê La Thành, Hà Nội
Date of Birth: 13/05/2005
Address: No. 3, Cau Giay, Hanoi

Key Strengths

Systems thinking and rapid problem-solving
Passion for pipeline and infrastructure research
Focus on deployment process optimization
Collaborative team player & self-motivated learner

University of Transport and Communication (UTC)

2023 - Present

IT Major - Year 3 Student

GPA: 3.4/4.0

Specialized in backend development, system design, and cloud deployment technologies.

SFIT Club - Technical & Cloud Committee

2023 - Present

Technical Lead & Mentor

Planning and coordinating technical workshops, mentoring programming courses, promoting project-based learning and research.

AWS SBG Core Team Member Badge

Issued Jul 2026

Official recognition as an AWS Student Builder Group Core Team member, issued by AWS Community. Skills: Community Building, Organization and Leadership, Student Engagement.

View credential on Credly →

Testimonials coming soon

This section will be updated with real feedback from collaborators and mentors.

Technical Skills

My Tech Stack

My expertise across various technologies and tools

Core DevOps Stack

Docker

Docker Compose

Linux

Airflow

Jenkins

GitHub Actions

PostgreSQL

Redis

Spark

MinIO

CI/CD

ETL Pipeline

Microservices

Git / GitHub

RESTful API

Also Languages & Frameworks

Python

Java

C++

SQL

Flask

Spring Boot

React

JavaFX

SQL Server

Projects

Personal Projects

SBLT CUP

Tournament Management Platform

Built for SBLT YouTube team's TFT tournament (May 2026). Designed a multi-stage tournament system (5 types, 8 groups × 8 players) with automated advancement and prediction system featuring time-window control and auto-scoring. Implemented real-time updates via SSE + Redis Pub/Sub (5000+ concurrent connections) with cross-instance broadcasting for PM2 cluster. Built 3-channel notification system (Database, Email, Push) with batch processing solving N+1 queries, and optimized caching with Redis stampede protection. Developed composite player rating algorithm (0–1000 score) based on 4 weighted factors.

Next.jsTypeScriptPrisma PostgreSQLRedisSSE Web PushTailwindCI/CD

View on GitHub

Classes369

IT center student management system

Delivered a modular, production-oriented Flask API with 11+ Blueprint modules and robust DB transaction handling. Designed authentication flow supporting bcrypt, role-based access (Admin / Teacher / Student), and RESTful endpoints. Implemented core business logic: transactional enrollment, cascading deletes, and payments handling. Automated reproducible Docker-based deployment (app + SQL Server + db-init) with automated schema seeding, persistent volumes, healthchecks, and retry/backoff mechanisms to avoid race conditions.

FlaskSQL ServerDocker PythonGenAIbcrypt

View on GitHub

Investor AI

AI-powered stock analysis & prediction platform

Architected scalable containerized deployment for 12 services, enabling daily processing of financial data via 13 Airflow DAGs. Created and maintained Docker images and docker-compose configurations for consistent environments. Built automated CI/CD pipelines (build → test → deploy) with rollback support for backend and frontend. Prepared GPU- and Spark-enabled containers for reproducible LSTM model training and inference with CUDA tuning. Implemented centralized logging, alerting, and SLOs to monitor system reliability.

Spring BootReactAirflow DockerPostgreSQLSpark RedisMinIOCUDA

View on GitHub

View All Source Code on GitHub →

Experience