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franktsaodev/README.md

Hi, I'm Frank Tsao 👋

AI Application Engineer focused on Python, Computer Vision, AI Agents, and Automation.

I build AI applications and software systems with experience in computer vision, OCR, automated testing, LLM-based agents, and production-oriented software development.

My work spans from computer vision and 3D LiDAR research to AI agent architecture and backend engineering.

🚀 Featured Projects

Frank AI Agent

A modular AI agent framework built with Python and FastAPI for developing stateful, extensible, and observable LLM applications.

Highlights: Agent Sessions · Conversation & Fact Memory · Tool Calling · Plugin Architecture · Structured Tracing · FastAPI · Docker

3D LiDAR Pedestrian Detection and Tracking System

A real-time pedestrian detection and multi-target tracking system developed as my master's thesis at National Chung Cheng University.

The system processes point clouds from a Velodyne VLP-16 and combines PCL-based point cloud processing, AdaBoost classification, Kalman Filter + NNDA tracking, and DBSCAN grouping for pedestrian detection and social-distance risk analysis.

Highlights: 3D LiDAR · ROS · PCL · AdaBoost · Kalman Filter · NNDA · DBSCAN · Gazebo · RViz

Traditional Chinese Scene Text Detection

A computer vision project developed for a Traditional Chinese Scene Text Recognition Competition, focusing on the text detection stage.

The detection pipeline is based on Differentiable Binarization (DB) with a deformable ResNet50 backbone, multi-scale feature fusion, and OpenCV-based post-processing for text bounding-box extraction.

Highlights: Computer Vision · Deep Learning · OpenCV · Differentiable Binarization · ResNet50 · Scene Text Detection

🛠 Tech Stack

Languages

Python · C# · C++

AI & Computer Vision

OpenCV · YOLO · OCR · Computer Vision · 3D LiDAR · Point Cloud Processing

AI Agent Engineering

LLM Applications · Tool Calling · Memory Systems · Plugin Architecture · Prompt Engineering · Structured Tracing

Backend & Engineering

FastAPI · REST APIs · Docker · Git · Pytest · Ruff · Pyright

Research & Robotics

ROS · PCL · Gazebo · RViz · AdaBoost · Kalman Filter · DBSCAN

🎯 Current Focus

  • AI Agent architecture and LLM application engineering
  • Computer Vision and AI automation
  • Production-oriented Python development
  • Building reliable and maintainable AI systems

Pinned Loading

  1. Frank-AI-Agent Frank-AI-Agent Public

    A modular AI agent framework with memory, tool calling, plugin architecture, tracing, session management, FastAPI, and Docker.

    Python

  2. people_tracking people_tracking Public

    Real-time pedestrian detection and multi-target tracking using 3D LiDAR, AdaBoost, ROS, PCL, Kalman Filter, and DBSCAN.

    Makefile 1

  3. scene_text_recognition scene_text_recognition Public

    Traditional Chinese scene text detection using Differentiable Binarization and OpenCV.

    Python