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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