Become an AI Engineer

Career Essentials in Software Development by Microsoft and LinkedIn

Career Essentials in Data Analysis by Microsoft and LinkedIn

Develop Your Skills with Large Language Models

Develop Your AI Prompt Engineering Skills

The Data Science Course 2020: Complete Data Science Bootcamp

Project Management Foundations

Career Essentials in Generative AI by Microsoft and LinkedIn

Machine Learning with Python Professional Certificate by Anaconda

TOEIC Listening and Reading (845/990)

Advance Your Skills in AI and Machine Learning

Bachelor's degree

Master's degree

Doctor of Philosophy - PhD

• Lead research and implementation of PDF parsing techniques using Azure Document Intelligence, PDFPlumber, and PyMuPDF
 • Designed and deployed scalable APIs and backend services in GCP using Kubernetes, Helm, and Terraform
 • Integrated LangChain and LlamaIndex for RAG-based retrieval and generation
 • Developed robust solutions to handle a wide range of automotive incentive PDF formats across OEMs (Toyota, Ford, VW, Hyundai, etc.)
 • Managed AI-driven template generation pipeline and automated large-scale data extraction workflows
 • Led sprint planning, Jira task management, and direct client communication for agile delivery

Senior AI Engineer

• Focused on time series analysis and anomaly detection.
 • Conducted motif discovery, anomaly detection, and time series summarization using Matrix Profile techniques.

Data Scientist

• Advanced ML techniques: SVM, Random Forest, Neural Networks. • Applied deep learning for anomaly detection (Autoencoders, GANs). • Conducted signal processing and optimization research.

Research Assistant

• Built recommendation systems using collaborative filtering and content-based methods
 • Developed ETL pipelines with Pentaho and PySpark to process large-scale data
 • Created deep learning-based recommendation models such as REC-VAE for TV360

• Researched LLM and NLP methods and mentored junior researchers on practical applications
 • Developed a Vietnamese real estate chatbot for price prediction and user interaction
 • Built deep learning models for risk analysis and market forecasting

• Programmed robotic car prototypes using Arduino.
• Worked on agricultural research and optical cable soldering.

Engineering Intern

• Studied the convergence of inertial dynamics (Nesterov accelerated gradient).
• Analyzed optimization schemes with Lyapunov energy methods.

Research Assistant In Optimization

• Assisted guests and managed travel arrangements.
• Acted as a local guide, handling communication and social media.

Tourist Guide

• Studied the convergence of inertial dynamics (Nesterov accelerated gradient). • Analyzed optimization schemes with Lyapunov energy methods.

Research Intern In Optimization

𝐄𝐧𝐞𝐫𝐠𝐲 𝐃𝐞𝐦𝐚𝐧𝐝 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠 𝐒𝐲𝐬𝐭𝐞𝐦
      • Designed and implemented scalable data pipelines with AWS Airflow to ingest and process real-time and historical energy consumption data.
      • Developed and trained multivariate time-series forecasting models using AWS SageMaker to predict day-ahead electricity demand with high accuracy.
      • Deployed and managed the end-to-end ML lifecycle, including automated model retraining, monitoring, and API delivery.
      • Integrated forecasting models with a Kotlin backend to serve predictions and system alerts.
𝐂𝐨𝐝𝐞 𝐑𝐞𝐯𝐢𝐞𝐰 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦
      • Researched advanced retrieval methods (GraphRAG, LightRAG, PathRAG) for large-scale codebase understanding
      • Designed an agentic system for automated and flexible code review tasks using LLMs
      • Benchmarked performance across multiple models and architectures to evaluate LLM effectiveness in code review
      • Built backend infras

AI Researcher and Software Engineer

AI Researcher

• Optimized PDF parsing with libraries like Azure Document Intelligence, PDFPlumber, and PyMuPDF. • Researched LLMs (GPT‑3.5, GPT‑4, Llama2) for task-specific solutions. • Integrated tools like Lang Chain and Llama‑index for enhanced performance. • Managed infrastructure, utilizing tools like Helm, Terraform, Kubernetes, and GCP for efficient deployments. • Built reusable components and automated workflows to streamline Data Processing and PDF Extraction. • Designed and optimized backend APIs, improving performance and reliability for AI-powered applications.

AI Software Engineer

AI Engineer

Know about Hao Hoang's work experience, education, and much more. Hao Hoang