Michael Dao

About Michael Dao

I love doing things that create tangible value

Experience

1. Ai Engineering Intern

   ETC Technology Systems JSC

   May 2025 — Present

   Developed a robust face detection system leveraging Ultralytics YOLOv11, delivering 92% accuracy with inference latency reduced to just 350ms- Engineered an advanced object detection and tracking pipeline that individually identifies and logs entries and exits within buildings, enhanced with Kalman filters and the Hungarian algorithm for reliable multi-object tracking- Optimized model deployment by converting trained models to ONNX format, packaging solutions into Docker containers, and deploying via NVIDIA\'s Triton Inference Server for efficient and scalable inference in production environments- Built a comprehensive Retrieval-Augmented Generation (RAG) pipeline designed to extract and synthesize insights from diverse academic research papers, utilizing Unstructured for accurate PDF parsing, MedEmbed for specialized embedding generation & retrieval, Pinecone as the Vector Database, and Qwen3-8b as the LLM for precise and context-aware information retrieval- Developed an Android application using Kotlin that helps with collecting data on false liveness detection cases, resulted in a 90% boost in speed and efficiency.

Education

• University of Houston

  Bachelor of Science - BS, Computer Science