About me

I'm an MLOps Engineer at Google, joining the team in 2025. I specialize in bridging the gap between machine learning development and production deployment, ensuring ML models are scalable, reliable, and performant in real-world applications.

My work focuses on building and maintaining robust ML infrastructure, implementing CI/CD pipelines for machine learning workflows, and optimizing model deployment strategies. I'm passionate about automation, monitoring ML systems, and ensuring models deliver consistent value in production environments. At Google, I collaborate with data scientists and engineers to streamline the ML lifecycle from experimentation to production.

What i'm doing

  • ML Pipeline Development

    Building automated and scalable machine learning pipelines for model training, validation, and deployment.

  • ML Infrastructure

    Designing and maintaining robust infrastructure for ML workloads using cloud technologies and Kubernetes.

  • Model Monitoring

    Implementing monitoring systems to track model performance, data drift, and system health in production.

  • CI/CD for ML

    Creating continuous integration and deployment workflows for seamless ML model updates and versioning.

Certifications & Badges

  • GDG Member

    GDG Member

    Active member of Google Developer Groups (GDG), contributing to the local developer community through knowledge sharing, organizing events, and fostering collaboration among developers passionate about Google technologies.

  • Google I/O 2025

    Google I/O 2025

    Registered attendee of Google I/O 2025, staying up-to-date with the latest innovations in AI, machine learning, cloud technologies, and developer tools announced at Google's flagship developer conference.

  • GDE 2023

    Google Developer Expert 2023

    Recognized as a Google Developer Expert (GDE) in 2023 for exceptional technical expertise and contributions to the developer community. GDEs are experienced, recognized developers who actively support developers and startups.

  • GDE 2024

    Google Developer Expert 2024

    Continued recognition as a Google Developer Expert (GDE) in 2024, maintaining high standards of technical expertise and community contributions. Actively engaged in mentoring, speaking, and sharing knowledge with the global developer community.

GDG Member
badge icon

GDG Member

Active member of Google Developer Groups (GDG), contributing to the local developer community through knowledge sharing, organizing events, and fostering collaboration among developers passionate about Google technologies.

Companies I've Worked With

Resume

Experience

  1. MLOps Engineer - Google Cloud

    2025 — Present

    Leading ML infrastructure development and deployment automation at Google Cloud. Building scalable ML pipelines using Kubernetes, Vertex AI, and TensorFlow Extended. Implementing CI/CD workflows for model training, validation, and deployment. Managing model monitoring systems and ensuring production reliability with 99.9% uptime.

  2. Data Analyst - Microsoft Vietnam

    2023 — 2024

    Analyzed large-scale datasets using SQL, Python, and Power BI to drive business insights for Azure services. Developed automated reporting dashboards that reduced manual reporting time by 60%. Collaborated with cross-functional teams to optimize data pipelines and improve data quality metrics. Implemented A/B testing frameworks for product features.

  3. Application Testing Engineer - Zalo (VNG Corporation)

    2022 — 2023

    Conducted comprehensive testing for Zalo messaging platform with 70M+ active users. Designed and executed test cases for mobile applications (iOS/Android) and backend services. Automated regression testing using Selenium and Appium, reducing testing cycle time by 40%. Identified and documented critical bugs, working closely with development teams to ensure quality releases.

Education

  1. University of Science, VNU-HCM

    2022 — 2026

    Bachelor of Science in Computer Physics. Specialized coursework in Machine Learning, Deep Learning, Statistical Physics, Computational Methods, and Data Science. Completed projects in neural network optimization, quantum computing simulations, and big data analytics. GPA: 3.8/4.0. Active member of AI research lab focusing on physics-informed neural networks.

  2. Hanoi University of Science and Technology

    2021 — 2022

    Artificial Intelligence Program (1 year). Foundational studies in AI algorithms, machine learning fundamentals, computer vision, and natural language processing. Developed strong programming skills in Python, Java, and C++. Completed projects on image classification and predictive modeling. Transferred to pursue Computer Physics specialization.

My Skills

MLOps & Cloud

  • Kubernetes
  • Docker
  • Google Cloud Platform
  • Vertex AI
  • TensorFlow Extended
  • MLflow
  • CI/CD
  • Terraform

Machine Learning & AI

  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Deep Learning
  • Computer Vision
  • NLP
  • Model Optimization

Programming Languages

  • Python
  • Java
  • C++
  • JavaScript
  • SQL
  • Bash

Data & Analytics

  • Pandas
  • NumPy
  • Power BI
  • Tableau
  • SQL Server
  • BigQuery
  • Apache Spark

Testing & Development

  • Selenium
  • Appium
  • Jest
  • Pytest
  • Git
  • GitHub Actions
  • Agile/Scrum

Web Development

  • React
  • Node.js
  • FastAPI
  • Flask
  • REST API
  • HTML/CSS

Contact

Contact Form