Tao Wang

Director of Engineering

Cary, North Carolina, United States17 yrs 3 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 15 years in software engineering and machine learning.
  • PhD in Computer Science with multiple patents.
  • Expert in building scalable AI solutions.
Stackforce AI infers this person is a Machine Learning and AI expert in the SaaS industry.

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Skills

Core Skills

Machine LearningAiComputer VisionData MiningParallel Computing

Other Skills

Embedded SystemsParallel AlgorithmsHigh Performance ComputingMatlabC++JavaLinuxAlgorithmsCSoftware DevelopmentShell ScriptingInformation RetrievalSignal ProcessingDistributed Systems

About

With over 15 years of experience in software engineering and machine learning, I have a passion for building scalable, reliable, and high-performance solutions that solve real-world problems and create value for our users and stakeholders. My core competencies include AI, machine learning, data mining, big data, parallel processing, computer vision, and software development. I have a PhD in Computer Science from the University of Alberta, and multiple patents in event prediction and object recognition systems. I have also led and contributed to cross-functional projects, teams, and research in these areas, working closely with product management, IT, data engineering, and other functions. I enjoy learning new technologies and sharing my knowledge and insights with others. I believe in the power of AI and machine learning to transform the way we communicate, learn, and grow.

Experience

17 yrs 3 mos
Total Experience
3 yrs 5 mos
Average Tenure
4 yrs 3 mos
Current Experience

Surveymonkey

Director of Machine Learning

Jan 2022Present · 4 yrs 3 mos

Amazon web services (aws)

Software Development Manager

Jan 2021Jan 2022 · 1 yr

  • Managed cross-functional teams employing AI/ML techniques to detect code defects.
  • Successfully launched secrets detectors featured at 2021 AWS re:Invent and log4j detectors.
Machine LearningAI

Stats perform

Senior Manager - Machine Learning

Jan 2020Jan 2021 · 1 yr · Durham, North Carolina, United States

  • Lead the Stats Perform Machine Learning COE in ML platform, computer vision and AI services
  • Operationalize AI product dev and manage the lifecycle for models via ML platform, reduced model deployment time by 10X
  • Research and develop new CV models in detection and tracking, reduced AWS cost by 10x for certain CV models
  • Work closely with product management, IT and data engineering to provide business solutions through AI services
  • Lead cross-functional projects starting from understanding business needs to execution and go-to-market
Machine LearningComputer Vision

Sas

2 roles

Senior Manager - Machine Learning & Data Mining

Promoted

Jan 2013Jan 2020 · 7 yrs · Cary, North Carolina

  • Lead the SAS Enterprise Miner Predictive Modelling development team in research and implementation of cloud based data mining and machine learning algorithms that can solve complex big data problems
  • Lead the team through the transition from Waterfall to Agile Development including leading scrums and using JIRA for User Story tracking.
  • Support already released products and managing customer reported problems
  • Develop goals and prioritizes projects, monitor and ensure products/projects adhere to established practices and schedules
  • Provide regular status updates to upper management, provide technical leadership to the team
  • Direct and manage administrative aspects of the team, and conduct performance appraisals for direct reports. Encourage and foster individual professional growth, offer training opportunities to employees
  • Keep current on data mining and machine learning trends and standards, represent SAS in the DMG (Data Mining Group, dmg.org)
Data MiningMachine Learning

Research Statistician Developer - Data Mining

Jan 2010Jan 2013 · 3 yrs · Cary, North Carolina

  • High Performance Data Mining: research and implement scalable and parallel algorithms for clustered and grid computing platforms
Data MiningParallel Computing

Broadcom

Engineering Intern

Jan 2010Jan 2010 · 0 mo · Richmond, BC, Canada

  • Develop build automation for the embedded real-time Linux projects and test automation

Boostsoft

Software Engineer

Jan 2007Jan 2009 · 2 yrs

University of alberta

Research And Teaching Assistant

Jan 2004Jan 2009 · 5 yrs

Utstarcom

Software Engineer

Jan 2003Jan 2004 · 1 yr · Hangzhou, Zhejiang, China

  • Programming with C/C++ for the IP broadband system
  • Branching, tagging, merging, integrating, building and releasing software and firmware

Education

University of Alberta

PhD — Computer Science

Jan 2004Jan 2010

Zhejiang University

M.Eng. — Computer Science and Engineering

Jan 2000Jan 2003

Zhejiang University

B.Eng. — Computer Science and Engineering

Jan 1996Jan 2000

Nankai High School

High School Diploma

Jan 1990Jan 1996

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