Maintain and debug serverless AI microservices on AWS Lambda (integrating S3, API Gateway, SQS) and across multi-cloud ecosystems (AWS, Azure, Alibaba Cloud). Developed and enhanced AI modules for authentication (face, voice, ID), assessment generation, lip sync and gaze detection, text-to-avatar pipeline, and multi-agent scoring systems for interview analytics.
Designed and deployed a voice-to-voice conversational AI for Prudential Singapore, automating customer service workflows to support 1,500+ clients, contributing to a SGD 20,000 quotation deal.
Built a multi-agent scoring system tailored for AIA Malaysia Elite Academy’s interview platform, conducting statistical validation linking AI interview scores with AIA’s financial performance metrics after 6 months of training.
Fleet Management Limited
AI Engineer Intern
Jun 2024 — Aug 2024 Hong Kong
Built a GenAI document rewriting tool to process 5,000+ documents using Claude via AWS Bedrock, hosted on EC2 with S3 storage.
Developed a RAG chatbot using Gemini models on Vertex AI and Pinecone vector database for retrieval. Enhanced answer accuracy by implementing hybrid search with BM25 and re-ranking technique.
Implemented LLM evaluation framework using synthetic data generation and LLM-as-a-judge to score response quality (relevancy, faithfulness, precision/recall) — used to select best chunking and retrieval strategies.
Deployed end-to-end observability on GKE with OpenTelemetry, Grafana, and Prometheus, including periodic evaluation via CronJobs. Built interactive Tableau dashboards for real-time KPI tracking and chat history review by stakeholders.
DRESIO Limited
AI Engineer Intern
Jun 2023 — Aug 2023 Hong Kong
Optimized MediaPipe pose detection models with multithreading and multiprocessing, achieving 50 FPS performance on CPU device.
Developed a Streamlit-based health monitoring application using YOLO-NAS via Ultralytics and ONNX Runtime, reaching 95% accuracy in real-time mouth movement analysis.
Built a cross-platform mobile demo app in Flutter leveraging Google ML Kit, enabling real-time pose detection on iOS and Android.
Education
City University of Hong Kong
Bachelor of Science in Data Science, Minor in Mathematics
Aug 2021 — Jun 2025 Hong Kong
GPA: 3.97/4.3 (magna cum laude, First Class Honours)
Awards: Dean’s List, HKSAR Government Scholarship, XYD Scholarship, Shanghai Commercial Bank Exchange Scholarship
Coursework: Theoretical Machine Learning, Big Data Algorithms, Reinforcement Learning, Data-Intensive Computing, Data Mining, Database Systems, Information Security, Regression Analysis, Bayesian Analysis, Mathematical Finance
McGill University
Exchange Semester
Jan 2024 — May 2024 Montreal, Canada
GPA: 3.83/4.0
Coursework: Applied Machine Learning, NLP with Deep Learning, Stochastic Processes, Statistical Learning
Featured Projects
Multi-Agent Financial Trading
A multi-agent LLM framework for financial trading where specialized agents analyze diverse data sources to generate explainable trading signals.
Hi, I’m Quang Minh Ha, a Data Scientist and AI Engineer based in Hong Kong. I graduated with First Class Honours (Magna Cum Laude) in Data Science from City University of Hong Kong, with a minor in Mathematics.
Currently, I work at Neufast Limited, where I maintain serverless AI microservices and build multi-agent systems for authentication and interview analytics. I am passionate about bridging the gap between advanced AI research and scalable, real-world applications.
