Summary

I'm a result-driven AI Engineer with over 5 years of experience building production-grade intelligent systems across LLMs, Computer Vision, and NLP domains. I leverage strong foundations in deep learning and MLOps to architect scalable pipelines, transform user experiences, and accelerate automation in critical business operations. I am passionate about applying cutting-edge models like RAG, LangChain, and multi-modal architectures to real-world problems.

Technical proficiencies
  • Main programming language: Python.
  • Deep Learning Framework: Pytorch, Tensorflow, Keras, Detectron2, MMDetection, LangChain, LlamaIndex.
  • DevOps: Docker, Tensorflow Serving, MLFlow, Prometheus, Grafana.
  • LLM API: OpenAI, AzureAI, Perplexity.
  • Database: MongoDB, MySQL, Redis, Qdrant.
  • Cloud Platform: Google Cloud, AWS, Azure
Professional experience
Insurance - Australia

AI Developer, Apr 2023 - Present

Project description 

  • Led the development of a virtual assistant designed to support disabled individuals in accessing Social Security Disability Insurance. The assistant was architected with a RAG-based framework, integrating OpenAI APIs for intelligent

Responsibilities 

  • Identify the specific needs of disabled individuals, determine the functionalities required.
  • Integrate OpenAI API for natural language processing and understanding.
  • Gather relevant data, using RAG to enhance the assistant's ability to provide accurate information.
  • Design effective prompts to guide the assistant's responses.
  • Implement function calls to handle specific tasks.
  • Deploy the assistant on Azure.
  • Monitor its performance and make necessary adjustments

Technologies 

  • Python, Pytorch, Oracle, MySQL, Azure, Networking.

Mobile Test Automation Platform - US

AI Developer, Feb 2021 – Apr 2023

Project description 

  • Engineered a computer vision–powered automation pipeline to validate UI/UX in mission-critical mobile delivery workflows.
    Used deep learning to enable visual understanding of mobile app interfaces.

Responsibilities 

  • Construct a pipeline based on Mask-RCNN from Detectron2 to detect UI elements in mobile applications (semantic segmentation).
  • Build a model to detect target elements from overlapping UI elements on a user touchpoint (box classification).
  • Implement a panorama stitching algorithm using OpenCV to stitch multiple overlapping UI screens (image stitching).
  • Implement template matching using OpenCV to match UI elements (template matching)

Technologies 

  • Python, Pytorch, Triton, AWS, Fast API, Flask, PostgreSQL, Docker, Kubernetes, Redis.

E-commerce - Vietnam

AI Developer, Mar 2019 – Feb 2021

Project description 

  • Built a suite of AI systems for one of Vietnam’s largest e-commerce platforms to manage inventory risk, verify seller legality, and ensure image moderation.

Responsibilities

  • Construct a logo recognition pipeline based on Yolov3 for the logo localization step and ResNet for the logo classification step to detect OEM/non-OEM products to help validate millions of sellers' products (logo recognition).
  • Construct an end-to-end system based on Tesseract and image preprocessing using OpenCV to extract the business registration code from the business registration certificate and check a seller's legality (BRC recognition).
  • Develop an API based on the ResNet model to detect NSFW images and verify all photos uploaded on Tiki (NSFW recognition).

Technologies

  • Python, AWS, Pytorch, OpenCV 

Conversational AI Platform - Singapore

Machine Learning Engineer, Jul 2016 – Apr 2018

Project description 

  • Created intelligent recommendation engines for a recruiting startup, matching candidates with jobs based on skill semantics.

Responsibilities

  • Built NLP pipeline to extract skills and job roles from CVs and job descriptions using Spacy + FastText.
  • Used gradient boosted trees and cosine similarity metrics for personalized job ranking.
  • Built an internal tool to auto-summarize CVs using extractive text summarization.

Technologies

  • Python, Scikit-learn, XGBoost, FastText, Flask
Certifications
  • Master of Science in Computer Science
  • University of Technology, Ho Chi Minh City – 2018
  • Bachelor of Engineering in Information Technology
  • University of Technology, Ho Chi Minh City – 2015
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Navigating Our Cooperation Models

For when you have the roadmap and the process, but not the people. Tell us the skills and seniority you need, and we send shortlisted profiles. You interview; the engineer you choose joins your existing team and works under your management.

Ideal for businesses that:
Need specialized expertise without adding full-time headcount
Want to scale capacity up or down as the roadmap shifts
Need extra hands on an upcoming or in-flight project
For when you need a team that owns a product, not individuals filling gaps. You select the engineers from the profiles above; they work exclusively on your project alongside your in-house team, keeping context instead of rebuilding it every quarter.

Ideal for businesses that:
Run large or long-term projects that need consistent ownership
Want a stable team that accumulates domain knowledge
Need engineers committed to the business goal, not just the ticket
For when scope and timeline are already settled and budget certainty matters more than flexibility. We define the delivery path up front, so the cost is known before work starts.

Ideal for businesses that:
Have a set budget and a clearly documented scope
Work to a hard deadline
Run projects with defined goals and achievable milestones
For when you want a permanent extension of your engineering organization in Vietnam, your process and your tooling, running on our infrastructure and hiring pipeline across three ISO-certified centers.

Ideal for businesses that:
Are building long-term engineering capacity, not staffing a single project
Want dedicated infrastructure and a managed hiring pipeline
Plan to grow the team steadily over several years
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