Yu Cao

CEO

Fremont, California, United States18 yrs 4 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in Computer Vision and Machine Learning.
  • Led significant projects at Meta for user growth.
  • Developed medical imaging solutions at IBM Research.
Stackforce AI infers this person is a Software Engineering Manager with expertise in Computer Vision and Machine Learning across Healthcare and Social Media industries.

Contact

LinkedIn

Skills

Core Skills

Software EngineeringMachine LearningComputer VisionResearch

Other Skills

AlgorithmsArtificial IntelligenceImage ProcessingPattern RecognitionMatlabC++CLaTeXOpenCVJavaMicrosoft OfficeImage SegmentationMicrosoft WordPowerPointMicrosoft Excel

Experience

18 yrs 4 mos
Total Experience
5 yrs 11 mos
Average Tenure
5 mos
Current Experience

Career break

Personal goal pursuit

Dec 2025 – Present · 5 mos · San Francisco Bay Area

  • Trying something new in an infinite game

Meta

Software Engineering Manager

Jan 2017 – Dec 2025 · 8 yrs 11 mos · San Francisco Bay Area

  • Friending Recommendation - Ranking. Driving Facebook App user growth and retention wins.
  • Facebook App Monetization - E2E Ads delivery. Optimizing ads delivery to drive ads revenues on Facebook app
  • Central Integrity - Privacy. Driving ads integrity space from the priavcy regulatory compliance.
  • Realiity Lab - AR/VR Discovery. Media content recommendation in Oculus.
  • Business Integrity - Content Understanding. Detecting policy violations from ads image and videos.
Computer VisionMachine LearningAlgorithmsSoftware EngineeringArtificial Intelligence

Ibm research - almaden

Software Engineering Researcher

Nov 2013 – Dec 2016 · 3 yrs 1 mo · IBM Research - Almaden, San Jose, CA

  • Building intelligent medical image analytics to assist physicians on medical diagnosis and treatment planning. Developed & deployed medical image analytic modules for 1) Bone
  • fracture detection in XRay images; and 2) Heart chamber volume estimation in Cardiovascular ultrasound images.
Computer VisionMachine LearningImage ProcessingResearch

Siemens corporate research

Research Intern

Sep 2011 – Dec 2011 · 3 mos · Siemens Corporate Research, Princeton NJ

  • 1. Three months research internship in Siemens Corporate Research.
  • 2. Investigated on curve-like anatomical structure tracking through angiogram x-ray image sequences.
  • 3. Developed tracking algorithms and published in MICCAI 2012.

Computer vision lab, university of south carolina

2 roles

Research Assistant

Promoted

Aug 2008 – Aug 2013 · 5 yrs · Columbia, South Carolina Area

  • 1. Investigated various computer vision, image processing and pattern recognition problems.
  • 2 .Participated in a number of research projects funded by NSF, DARPA, AFOSR, ARL.
  • 3. Developed algorithms and software for 2D shape analysis, 3D image segmentation, human activity recognition, etc.
  • 4. Collaborated with supervisor on research funding application.
Computer VisionImage ProcessingPattern RecognitionResearch

Teaching Assistant

Aug 2007 – Jul 2008 · 11 mos · Columbia, South Carolina Area

  • CSCE 145, Algorithm Design I, Lab Instructor, Fall 2008
  • CSCE 101/102, Intro-Computer Concepts/Gen Application Program, Lab Monitor, Summer II 2008
  • CSCE 146, Algorithmic Design II, Lab Instructor, Spring 2008

Education

University of South Carolina

Doctor of Philosophy (Ph.D.) — Computer Science and Engineering

Jan 2007 – Jan 2013

Northeastern University (CN)

Master of Science (M.Sc.) — Applied Mathematics

Jan 2004 – Jan 2007

Northeastern University (CN)

Bachelor of Applied Science (B.A.Sc.) — Information and Computing Science

Jan 1999 – Jan 2003

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