Summary

I have more than one year of experience in Python, MLOps, LLM, SQL and Computer Vision technologies. I have been experienced in NLP and Generative AI with LLMs, PhoBERT, YOLOv8, and Agentic Workflows for the past year. I focus on analysing business requirements, implementing technical proposals, optimizing model performance, researching and applying new state-of-the-art techniques, and mentoring my team members as well. I always advise my team to work with the latest AI advancements. I also have a knowledge of Business Intelligence using Data Visualization tools, I have knowledge of system integration and have many third-party services and tools such as: Docker, Looker, Metabase, and Cloud Platforms.

Technical proficiencies

Programming Languages: Python. 

Skills: 

  • Libraries & Frameworks (AI/ML): Langchain, Langgraph, Pytorch, Scikit-learn, Hugging Face.
  • SQL: TrinoSQL, PostgreSQL. 
  • Data Processing: Pandas, Numpy, Apache Spark.
  • Big Data & Streaming: Apache Spark, Apache Kafka.  
  • Backend development: FastAPI, RESTful API. 

Tools: Visual Studio Code, Git, Cursor, ChatGPT, Gemini, Claude.

Professional experience

ChatMark – Marketing AI Agent  

AI Engineer, April 2025 – December 2025

Project description 

  • Worked on a team of 4 members including 1 Team Leader, 2 AI Engineers and 1 QC. 
  • Built an AI Agent product that leverages RAG techniques to chat with users and provide marketing strategy suggestions.

Achievements

  • Successfully delivered the product to production, fully meeting the client’s requirements.

Responsibilities 

  • Analysed requirements, supported team to design software architecture 
  • Implemented latest AI Agent framework, efficient RAG technique and handle issues occurred during development of the product.  
  • Ensured that deliveries are on-time and on-target 
  • Fixed bugs, supporting team members and maintaining. 
  • Got requirements from the customers directly. 

Technologies 

  • Langchain, Deep Agents.
  • Auto merging retriever (RAG technique).
  • FastAPI, Python.
  • AWS S3, EC2, PostgreSQL.
  • Text embedding model. 

Statistic Chatbot Project – AI Agent

AI Engineer, February 2025 – April 2025

Project description 

  • Working on a team of 1 member including 1 AI Engineer.
  • Building an AI Agent product to chat with store managers and provides insights on store performance.

Achievements

  • Successfully delivered the product to production, fully meeting the client’s requirements.

Responsibilities 

  • Analysed requirements and designed software architecture. 
  • Implemented the latest AI Agent framework and resolved issues during product development.
  • Set up prompt contexts for LLMs.
  • Transformed raw data into clean formats.
  • Designed database.
  • Built sub-agents to handle data retrieval and visualization tasks.
  • Debugged, supported team members, and maintained the system.

Technologies 

  • Langchain, Deep Agents.
  • FastAPI, Python.
  • PostgreSQL.
  • NextJS.

AI Authenticity System – Luxury Counterfeit Detection

AI Engineer, August 2024 – Present

Project description 

  • Managed a team of four AI Engineers. 
  • Researched, fine-tuned, validated, and deployed state-of-the-art computer vision deep learning models. 

Achievements

  • Developed a luxury counterfeit detection platform that reduced authentication time by 75% while maintaining 90% accuracy.
  • Implemented 3 state-of-the-art fine-grained image classification models in 2 dataset benchmarks including Standford Cars, CUB-200-2011. 

Responsibilities

  • Built automated reporting pipelines to deliver detailed weekly and monthly performance reports to stakeholders, highlighting key metrics. 
  • Reviewed team members’ code to ensure quality and best practices.
  • Refactored the codebase to support efficient model versioning.
  • Researched state-of-the-art fine-grained image classification models and packaged them into a reusable Python library.
  • Validated and deployed deep learning models to both Staging and Production environments.
  • Designed API endpoints to support model integration and system functionality.  

Technologies

  • Pytorch.
  • Convolution Neural Network.
  • FastAPI.
  • Triton, CUDA. 
Certifications

IELTS 6.0

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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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