BUI HOANG HA / DEVOPS & BACKEND ENGINEER
I build backend services and the workflows that keep them running.
Focused on AWS, deployment automation, and reliable operations.
I’m Bui Hoang Ha, also known online as Hadayxinchao. With 3+ years in backend engineering, I’m now focused on DevOps: containerized deployments, CI/CD, monitoring, and recovery workflows. My Rails and Django experience helps me connect application needs with cloud operations.
01 / A selection of systems I’ve built.
Built backend workflows for organizations, enrollment, learning paths, rewards, and marketing. Contributions include permission-based access, private HLS delivery, asynchronous analytics, and transcript and vector-retrieval foundations for future RAG capabilities.
Developed APIs for articles, classes, media, and events. Implemented capacity-aware registration, waitlists, payment-status tracking, and asynchronous email with retries, alongside Docker and GitHub Actions deployments to AWS ECS/Fargate.
Production-ready, end-to-end image classification pipeline adhering to industry MLOps best practices: Hydra configuration management, DVC data versioning with AWS S3 remote storage, Dockerized CI/CD via GitHub Actions, and automated CML pull-request metric reporting.
Modern password manager built on Ruby on Rails 8 and Hotwire. Features end-to-end encrypted storage powered by Active Record Encryption, responsive web interface, and an integrated Chrome Extension for smooth credential autofill workflows.
Real-time interactive social network application with WebSocket live messaging via Rails Action Cable, Devise multi-role authentication, responsive UI components, and complete test suite with 90%+ code coverage using RSpec.
High-reliability reservation system designed to handle spike traffic. Implements asynchronous seat reservation queues and notifications using Sidekiq background workers, Redis cache locks, and reproducible Docker multi-stage deployments.
02 / Experience & education
Advanced studies in deep learning architectures, Transformer models, fine-tuning LLMs, multi-modal systems, and autonomous agent workflows.
Graduated with GPA 3.01. Comprehensive foundation in Algorithms, Data Structures, Operating Systems, Database Management Systems, and Software Architecture.
03 / Tools, chosen for the job.
04 / On code, curiosity, and everything between.
From learning workflows and private video delivery to event registration, analytics, and recovery: a look back at my work from February to October 2026.
My first half marathon: training strategy, race day reflections, and endurance lessons learned along the 21km route.
Discover how Retrieval-Augmented Generation (RAG) chatbots combine LLMs with real-time vector retrieval to deliver reliable, contextual answers.
Learn how to programmatically query verification codes via Microsoft Graph API for automated testing workflows while maintaining security best practices.
Protect sensitive user data seamlessly in Rails with built-in application-level Active Record Encryption. Configuration, key management, and query considerations.
A walkthrough of building a reproducible ML pipeline with Hydra configs, DVC data versioning, Docker containerization, and CML automated PR reporting.
