Atlas Labs
Do Kim Dang Khoa

About Do Kim Dang Khoa - Atlas Labs

Senior Full-stack Engineer with 5+ years of experience building scalable web platforms using Node.js, React.js, and cloud-native architecture.

Who am I?

I'm Khoa (Do Kim Dang Khoa), a Full-stack Developer passionate about building scalable systems and solving real-world problems with technology.

I specialize in designing cost-optimized serverless architectures that enhance scalability and efficiency. I'm particularly skilled at leveraging AI-powered tools and workflows to accelerate development and operations.

With a forward-thinking approach to technology adoption, I consistently improve productivity by 30–50% and focus on building reliable, maintainable systems.

Experience
5+
Years
Projects
12+
Completed
Productivity
30-50%
Boosted with AI

Skills

Frontend

React.jsNext.jsTypeScriptReduxZustandTailwindSSRSSGReact Hooks

Backend

Node.jsFastifyExpressRESTGraphQLMicroservicesServerlessPrismaPostgreSQL

Cloud & DevOps

AWS LambdaAPI GatewayEventBridgeS3DynamoDBCognitoCloudWatchDockerKubernetesGitHub Actions

AI & Productivity

AI-assisted codingLLM integrationWorkflow automationPrompt engineering

Experience

  1. Senior Full-stack Engineer

    Codestringer

    Oct 2021 - Present

    Leading end-to-end delivery across SportsTech, Healthcare IoT, EdTech, and Aquaculture platforms with focus on scalability, real-time systems, and cloud-native architecture.

    • Built NLFC SportsTech platform with Next.js, Node.js, Redis, and CI/CD pipelines
    • Cut delivery timeline by 50% (from 6 months to 3 months) by integrating AI agents into development workflows
    • Designed secure HIPAA-oriented data flows for BIONEX with encrypted storage and audit-ready architecture
    • Delivered real-time EdTech whiteboard for 10 presenters and 80 concurrent students (~180ms latency)
    • Optimized data-heavy React dashboards and cross-region synchronization for Aquabyte analytics
  2. Full Stack Developer

    PMSA

    Feb 2019 - Oct 2021

    Researched and developed motion recognition and simulation software for dental analysis using OpenCV, AI, and DICOM file processing.

    • Built software to read and process DICOM files
    • Applied OpenCV for motion recognition and medical image processing
    • Conducted AI research for simulation and analysis
    • Implemented real-time data streaming with Node.js

Let's work together

I'm open to collaborations and new opportunities. If you're looking to build reliable, scalable systems with AI-enhanced workflows, let's get in touch.