Profile picture
Hoang Gia Huy AI Engineer
Phone
(+84) 905786644
Email
[email protected]
Location
783 Tran Xuan Soan, District 7, Ho Chi Minh City, Vietnam
LinkedIn
linkedin.com/in/ausarhuy
Profile

Innovative AI Engineer with 3 years of experience designing and deploying machine learning, deep learning, NLP, and intuitive LLM solutions to address complex challenges. Proficient in Python, TensorFlow, PyTorch, and LLM-driven systems, with expertise in algorithm optimization, data processing, and cloud-based deployments. Proven track record of delivering high-impact AI systems through collaborative teamwork.

Professional Experience

AI Engineer

TMA Solutions⁠
08/2022 – PresentVietnam
Skills
Programming Language

Python

Data Processing

NumPy, Pandas

AI Frameworks

Scikit learn, Tensorflow, PyTorch, Transformers

Backend

FastAPI, Flask

Additional Tools

Docker, Grafana, Loki, Prometheus, Git, Linux, WSL

Database/Storage

PostgreSQL, MongoDB, ChromaDB, MinIO

Visualization

Matplotlib, Seaborn

NLP/Computer Vision

NLTK, SpaCy, Gensim, OpenCV, Ultralytics, Langchain, LangGraph, Prompt Engineering, TesseractOCR

Model Serving

TensorflowServing, vLLM, Ollama

Soft skills

Collaboration, Problem-solving, Communication

Projects

Container Packing Optimization

  • •Engineered a high‑efficiency container packing algorithm tailored to user‑defined constraints, using NumPy for optimized computations, parallel processing, and real‑time 3D visualization.
    • 01/2025 – 07/2025
  • •Built a scalable API server with asynchronous background task execution and to streamline operational workflows.

    • 911 Call Center

    ODC Project
  • •Developed and served AI models with Ultralytics YOLO to detect critical events — including gunfire and fire from images and videos — while leveraging NLTK and SpaCy to filter spam/malicious text content.
    • 01/2024 – 12/2024
  • •Upgraded and maintained a 911 simulation call server, integrating a Grafana dashboard for real‑time monitoring to enhance operational efficiency.

    • Abstract & Synopsis Generation for Financial Report

    PoC Project
  • •Built an LLM‑powered system with LangChain, employing Few-shot Learning and Chain‑of‑Thought (CoT) reasoning to automate abstracts and synopses for financial reports.
    • 11/2023 – 12/2023
  • •Ensured generated content met minimum acceptable content standards by incorporating style analysis, privacy masking, key data extraction, and synthesis from analyst input and historical documents.

    • RAG chatbot

    Internal project
  • •Designed a retrieval‑augmented generation pipeline integrating Hybrid search (dense vector embeddings + BM25 lexical search) for high‑recall document retrieval.
    • 06/2023 – 10/2023
  • •Appy Reranking to prioritize relevance using contextual LLM scoring, improving precision on complex, multi‑document queries.
  • •Delivered a FastAPI interface for semantic, context‑aware information search across large collections of internal documents.

    • Application Tracking System

  • •Designed an automated resume screening system using SpaCy for NER and relation extraction, plus Transformers for semantic segmentation.
    • 08/2022 – 05/2023
  • •Implemented and evaluated a top‑k candidate–job matching algorithm to improve recruitment efficiency.
  • •Integrated OCR with Tesseract to parse scanned documents, expanding the system’s reach to non‑digital resumes.
    • Education

    B.S. in Computer Science

    Ton Duc Thang University⁠

    GPA: 3.16/​4.0

    Ho Chi Minh City, Vietnam
    Courses
    11/2020
    11/2020
    Languages
    English

    Aptis ESOL General 160 (B2)