# Thang Dinh

> Engineering @ Applied Intuition

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/thangdinh

I love real-world challenging problems. I am also passionate about algorithms and software design. I am a detail oriented person so I take UI/UX design seriously.

Specialties: Computer Vision, Machine Learning, Problem Solving, Mobile Programming
Programming Languages: C/C++ (over 13 years), Javascript/Coffeescript (learning), Objective-C (learning), Java (haven't used for a long time, start learning again), C# (only used when needed), HTML/CSS (just a bit).
Libraries and frameworks: OpenCV, Qt, Ember.js (learning), Angular (learning).

## Work Experience
### Software Engineer @ Applied Intuition
Jan 2025 – Present | Mountain View, California, United States

### Staff Software Engineer @ Waymo
Jan 2023 – Jan 2025

### Software Engineer @ Aurora
Jan 2020 – Jan 2023

### Director of Engineering @ Foresight AI Inc
Jan 2018 – Jan 2019
We are building a global-scale data platform for self driving cars, delivery robots, automated logistics, and agriculture machinery.

### Software Engineer @ Addepar
Jan 2014 – Jan 2018 | Mountain View
Was part of the engineering team growing the platform handling from 200 billions to more than 1 trillion of assets.
Developed portfolio analysis, transaction center, and report center hosting a powerful WYSIWYG customizable financial report editor.
Together with the team, delivered the successful partnerships with big clients.

### Senior Software Engineer @ KLA-Tencor
Jan 2012 – Jan 2014 | Milpitas, CA
• Build 2D Computer Vision and Image Processing algorithms.
• Build software to control an autonomous robotic system having multiple sensors including ranging laser devices, 2D cameras, IMU.
• Build productivity tools for imaging and team collaborating.

### Research Mentor @ University of Science
Jan 2008 – Jan 2014
Mentor a group of undergrad and master students working on several computer vision topics such as:
• Traffic monitoring system using a single camera.
• Sport video classification.
• Soccer video retrieval system. 
• Human computer interaction using a single camera
• Multi pedestrian tracking.
• 3D modeling and object segmentation.
• Semi-supervised face labeling in video feeds.
• Object recognition on mobile device.

### Research Assistant @ University of Southern California
Jan 2006 – Jan 2011 | Los Angeles
Here are some projects I worked on 
• Co-training framework for visual tracking using generative and discriminative appearance models.
• Context tracker - a visual tracker automatically explores the context information around to run robustly. The context information includes distracters, which are other regions similar to our target, and supporters, which are local keypoints having short-term motion correlation with our target.
• An autonomous surveillance system using a network pan-tilt-zoom camera to detect pedestrians, track their faces, then zoom in to acquire high resolution face sequences for forensic purpose.
• Motion segmentation using 2 frames: using tensor voting to successfully extract the moving objects out of the background..

### Research Intern @ Sony Electronics
Jan 2009 – Jan 2009 | San Jose
• Design and implement 3D block-based motion estimation using multiple frames for video compression.
• Improve the open source JM/KTA video compression software.

### Teaching Assistant & Research Assistant @ University of Science
Jan 2005 – Jan 2006
• Design and implement new algorithms in sign language recognition. 
• Help review lectures and prepare lab homework for undergrad students in various courses: Data Structures, Introduction to Programming, Graph Theory, Computer Graphics, Introduction to Database Systems, Object-Oriented Programming, Object-Oriented Software Development.


## Education
### PhD in Computer Science
University of Southern California

### Bachelor in Information Technology
University of Science

### Master in Computer Science
University of Southern California


## Contact & Social
- LinkedIn: https://linkedin.com/in/thangdb

---
Source: https://flows.cv/thangdinh
JSON Resume: https://flows.cv/thangdinh/resume.json
Last updated: 2026-04-11