Oswald Koo

AI/ML Engineer with hands-on LLM deployment experience and 10+ years of data-driven problem-solving from manufacturing. Recently transitioned through AI Apprenticeship Programme (AIAP) with production deployment of enterprise AI systems including end-to-end tender automation and document intelligence solutions. Proven ability to rapidly experiment, translate complex technical concepts for diverse audiences, and drive projects from conception to production with strong ownership and initiative.

Associate AI Engineer at AI Singapore (2025-09 – Present)

End-to-end development of intelligent automation system using Azure cloud services and LLMs

• Architected and deployed end-to-end AI pipeline: web scraping → LLM-powered document evaluation → Microsoft Teams bot integration
• Built containerized workflows with Azure Container Apps and Logic Apps for parallel processing of tender documents
• Implemented Microsoft Foundry Agent Service for Teams integration, enabling document Q&A with natural language
• Developed adaptive card interfaces for non-technical users to interact with AI recommendations
• Managed complex Azure identity/permissions architecture (managed identities, service principals, RBAC) within organizational constraints
• Impact: Automated manual tender screening process, enabling faster response times and data-driven bid decisions

Yield Engineer (Senior Engineer II) at STATS ChipPAC (2025-02 – 2025-09)

Applying ML to manufacturing quality improvement

• Leading ML classification project for AOI defect images to enable targeted yield improvement
• Built Streamlit dashboards with SQL/Python for interactive yield analysis and root cause investigation
• Drive cross-functional defect reduction initiatives using data-driven commonality analysis

Staff Engineer (Die Sort/Attach/AOI) at ams-OSRAM Asia Pacific (2019-07 – 2024-08)

Applied automation and data science to optimize high-mix semiconductor processes

• Automated data collection and analysis with Python, replacing manual reporting and accelerating decision-making
• Reduced material waste 50% through DOE-driven process optimization and statistical modelling
• Built Python automation tools to eliminate repetitive tasks, freeing engineers for higher-value work
• Mentored engineers on data-driven problem-solving (5Why, RCA, SPC)
• Managed vendor relationships and cross-functional stakeholders for equipment qualification and process transfer
• Impact: Established data-driven culture, enabling proactive quality management

System Acceptance Process Engineer at ASM Assembly Solutions (2018-08 – 2019-06)

• Led Singapore-to-Malaysia production line transfer, managing requirements definition and stakeholder alignment
• Green Belt project: Reduced supplier defects from 7000 dppm → 1500 dppm using SPC-based predictive analytics
• Implemented control plans and early warning systems for process stability

Soldering Process Engineer (Engineer II) at Renewable Energy Corp (REC) (2014-08 – 2018-07)

• Optimized vision inspection systems to minimize false positives while maintaining quality
• Automated defect image analysis pipeline, reducing error response time through improved data visualization
• Led DOE studies (JMP) for process optimization, balancing quality and throughput
• Trained technicians on data interpretation and systematic troubleshooting

AI Apprenticeship Programme (AIAP) in Applied AI – AI Singapore (2025-09 – 2026-03)

Specialist Diploma in Applied AI – Nanyang Polytechnic (2023-10 – 2024-10)

Bachelor of Engineering in Mechanical – Nanyang Technological University (2010-08 – 2014-05)