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Caspar Wu
Sr. Inspection Process Engineer
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Caspar Wu

Sr. Inspection Process Engineer
Dedicated Smart Manufacturing with +10 Years of Experience Senier Process Engineer specializing in Inspection system. Well-versed in hands on skill, inspection system troubleshooting, handling customer complaints, improving yield, and reducing downtime/cost. Assist the company digital transmission by deploying big data system.
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Corning Incorporated
National Sun Yat-sen University
Taichung City, Taiwan

Professional Background

  • Current status
    Ready to interview
  • Profession
    Process Engineer
    Data Engineer
  • Fields
    Artificial Intelligence / Machine Learning
    Big Data
  • Work experience
    10-15 years (10-15 years relevant)
  • Management
    I've had experience in managing 5-10 people
  • Skills
    Inspection Process
    Machine Learning
    VBA Macro
    Power BI
    Kepner-Tregoe Methodology
    Six Sigma
  • Languages
    Native or Bilingual
  • Highest level of education

Job search preferences

  • Desired job type
    Interested in working remotely
  • Desired positions
    Technical support engineer
  • Desired work locations
    South Korea
    United States
  • Freelance

Work Experience

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Sr. Inspection Process Engineer

Jul 2018 - Present
【Inspection system owner】 .Responsible for 21 production lines' inspection systems include 3 different manufacturers. .Diagnose downtime or quality issues through analysis of inspection results, HMI messages, system log/config files and parameter sets. .Provid assistance to first-line support engineers who are unable to fix optical, electro, system hardware/software and database problems. .Independent work of camera module installation, machine parts replacement, software upgrade, system calibration and defect qualification. .Build procedure documents for inspection issue troubleshooting, parts installation, system calibration and computer rebuild. 【Project manager】 .Improve key performance indicators through DMAIC and Six-sigma approaches (Decrease cycle time 12.5% to save US$2,793K/year, decrease defect missing to save US$2,346K/year...etc.). .Solve customer complaints, provide the corrective/ preventive actions including FMEA process and system retrofit. .Import new process/ material/ sytem into Inspection area by co-work with global department members. .Align product spec and defect judge criteria with cross-factory Quality department members to gain in yield over 10% per year. 【Big Data system developer】 .Develop defect type auto-classifier and defect image auto-judgement through Python programming, decrease 1~2 manpower per production line. .Develop SPC control board, performance monitor board and defect audit system through PowerBI or VBA, decrease 60% in-line operator loading.
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Yield Improve Engineer

Oct 2010 - Jun 2018
7 yrs 9 mos
【CELL process improvement owner】 .Provide quality issue solutions and defect reduction actions through SEM/ TEM analyzing and DOE testing. .Import new process/ machines into CELL process by co-work with Research/ Quality team members to improve production capacity, reduce cost and solve customer complaints . .Provid assistance to Production members about new products/ materials experimental planning and implementation. .Develop quality/ reliability related standard operating procedures and migrate to all factories. 【Advanced process control system project leader】 .Build/ optimize factory process system, help departments for data query and process automation. .Analysis cross-factory abnormal issue through Big data system and provide root cause/ possible cause solutions. .Share the project experiences of data mining and Big-data programming.


Bachelor of Science (BS)
Computer Science, Data mining, Database modeling
2004 - 2008

Licenses & Certifications

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