{ "name": "Haoming Koo", "headline": "Applied AI Engineer | Production ML Systems | RAG, Agents & Evals | $600M+ Business Impact | Ex-Micron | MSc (NUS)", "location": "Singapore", "email": "haomingkoo@gmail.com", "linkedin": "https://linkedin.com/in/haomingkoo", "github": "https://github.com/haomingkoo", "website": "https://kooexperience.com", "nationality": "Singapore Citizen", "searchAliases": [ "Haoming Koo", "Haoming Koo LinkedIn", "Haoming Koo portfolio", "Haoming Koo AI Engineer Singapore", "Haoming Koo Applied AI Engineer", "Haoming Koo AI Product Engineer", "Haoming Koo Production LLM Systems" ], "summary": "Applied AI engineer in Singapore. I build production ML systems, RAG workflows, agent tools, evals, observability, and product interfaces. I spent 7+ calendar years at Micron across semiconductor manufacturing, cloud, and data platforms. The work aligned 3,000+ engineers across four fabs and contributed to USD 600M+ in business impact. I now build production ML systems at AI Singapore.", "topSkills": [ "AI Engineering & MLOps", "Production ML Systems", "Digital & Cloud Transformation (GCP/AWS)", "Vision Pipelines & Applied ML", "GenAI, RAG, LangGraph, Evals & LLM Observability", "Global Program Leadership" ], "technicalSkills": { "languages": ["Python", "SQL", "JavaScript", "R", "MATLAB"], "mlAndAI": ["PyTorch", "TensorFlow", "scikit-learn", "OpenCV", "YOLOv8", "LightGBM", "ResNet-50", "Vision Pipelines", "Sequence Modelling", "Transfer Learning", "SHAP"], "genAI": ["LLM Workflow Automation", "RAG (Retrieval-Augmented Generation)", "LangGraph", "Langfuse", "Arize Phoenix", "LLM Observability", "Evaluation Frameworks", "Agentic Workflow Orchestration", "Tool-Using Agents", "Human-in-the-Loop Workflows", "Prompt Engineering", "n8n", "MCP", "OpenAI APIs", "Hugging Face"], "mlOps": ["Docker", "GitLab CI/CD", "Git", "MLflow", "Airflow", "Kedro", "PySpark", "Model Lifecycle Management", "Traceability", "Monitoring"], "cloud": ["Google Cloud Platform (GCP)", "AWS (S3, Lambda, SageMaker)", "Snowflake"], "fullStack": ["React", "FastAPI", "Flask", "Node.js", "HTML/CSS/JS", "REST APIs", "MongoDB", "PostgreSQL", "SQLite"], "dataAndViz": ["Tableau", "Power BI", "Plotly", "Jupyter", "Pandas", "NumPy"], "automation": ["UiPath", "Power Automate", "RPA"], "semiconductor": ["SPC", "MES", "EQMS", "Digital Twins", "SEMulator3D", "KLA CIRCL/Surfscan/Voyager", "JMP", "SAP"], "methodologies": ["Spec-Driven Development", "Agile/Scrum", "Lean Six Sigma", "ISO 9001", "Design Thinking", "Red-Team UAT Testing", "Secure-by-Design"] }, "spokenLanguages": [ { "language": "English", "proficiency": "Native" }, { "language": "Chinese (Mandarin)", "proficiency": "Native" }, { "language": "Japanese", "proficiency": "Elementary" } ], "experience": [ { "company": "AI Singapore", "roles": [ { "title": "Associate AI Engineer | AI Apprenticeship Programme (AIAP)", "startDate": "2026-01", "endDate": null, "location": "Singapore", "description": "Full-time AI engineering apprenticeship under AI Singapore's national AI programme. Building and deploying end-to-end ML systems across structured data, vision, and sequence modelling domains.", "bullets": [ "Delivered production-ready pipelines using GitLab CI/CD, Docker, and Google Cloud — including backend inference services and frontend UIs", "Built vision models for image classification, object detection, and quality checks", "Developed sequence modelling systems for time-series prediction", "Implemented containerised deployment, model lifecycle management, and MLOps automation", "Built 8 live portfolio applications integrating ML models with cloud-hosted dashboards (kooexperience.com)", "Expanding into NLP, LLM architectures, LangGraph-style orchestration, observability, and agentic AI workflows" ] } ] }, { "company": "Micron Technology", "totalDuration": "7+ calendar years", "roles": [ { "title": "Manager, Front End Central Process Integration Engineering", "startDate": "2022-08", "endDate": "2025-01", "location": "Singapore", "description": "Led global AI-enabled transformation and cross-site program delivery, aligning 3,000+ engineers across four fabs (Singapore, Boise, Hiroshima, Taichung). Managed a team of 6 direct and up to 9 indirect engineers with a USD 9M operational portfolio.", "bullets": [ "Designed and executed a 5-year autonomous conversion roadmap using 3M strategy (Method, Metrics, Mindset) — $832M in opportunities surfaced, $50M+ realised savings, projected 9-figure impact", "Unified fragmented process platforms (C3, iConS, PIP) into a single AI-integrated ecosystem — standardised 80% of workflows across 4 countries while preserving 20% site flexibility", "Co-led a flagship low-power DRAM yield ramp — maturity pulled in by 7 months on a multi-quarter mobile-DRAM program", "Co-led a high-bandwidth-memory yield program supporting Micron's first HBM market entry", "Modernised infrastructure from Hadoop to Google Cloud Platform (GCP), improving model deployment speed, traceability, and cost efficiency", "Developed ML risk-scoring dashboards using anomaly detection for yield and reliability — preventing USD 100M+ potential losses", "Built and deployed GenAI SOP Assistant: prompt packs + retrieval on audited SOPs; 80-90% answer relevance, ~15 min/query deflection, ~2 weeks faster onboarding, scaled to ~3,000 engineers", "Designed planning workflow patterns with specs, retrieval, tool orchestration, validation gates, traceability, human review, and auditable recommendations", "Scaled RPA (UiPath/Power Automate) for targeting-lot workflow — 100% adoption; mentored ~30 engineers", "Built reliability/observability infrastructure: pipeline health dashboards, canary/shadow runs, rollback runbooks — near-zero ML-pipeline outages", "Embedded ESG-linked metrics (GHG, water, energy, waste) and SPC analytics into dashboards for compliance and sustainability governance", "Drove SEMulator3D rollout: accelerated validation by 2 weeks, >$10M in time-to-market gains", "Conducted red-team UAT simulations, reducing post-deployment issues by 25%", "Used spec-driven delivery for ambiguous automation work: write requirements, define acceptance checks, test edge cases, and make exceptions reviewable", "Chaired conversion SteerCo with monthly executive updates; managed USD 9M front-end travel/ops portfolio", "Mentored cross-regional team across US, Japan, Taiwan, Singapore — promoting Agile delivery, resilience, and stakeholder alignment" ] }, { "title": "Senior Process and Equipment Engineer - Uniformity", "startDate": "2021-11", "endDate": "2022-08", "location": "Singapore", "description": "Transitioned from equipment engineering to data-driven automation — developing ML-enabled defect prediction and control systems.", "bullets": [ "Built ResNet-50 computer vision model for wafer/chamber misplacement detection via shadow-ring analysis — earned Micron Innovation Award", "Scaled AI-based OCR defect detection system fab-wide — 4-5% yield improvement", "Reduced scanner wafer rejection to <0.5% and MA excursion impact to <0.1% — earned Micron Culture Champion", "Developed anomaly detection and out-of-family (OOF) monitoring with automated MES-integrated alerting", "Automated real-time defect analytics pipelines to accelerate root cause resolution", "Pioneered novel bevel etch detection using peak colour analysis (vs intensity) — became permanent defense strategy" ] }, { "title": "Senior Process and Equipment Engineer - Wet Process", "startDate": "2019-11", "endDate": "2021-11", "location": "Singapore", "description": "Led smart manufacturing initiatives integrating digital twins, ML models, and automation pipelines.", "bullets": [ "Built a digital twin of TEL Celesta — ML-guided DoE optimization reduced chemical usage by 60% and saved USD 7M+ (Micron Idea of the Quarter Award)", "Saved 40+ hours/week of manual validation through simulation-based process qualification", "Deployed real-time sensor networks to enhance process control and sustainability", "Qualified >10 alternate chemistries during COVID disruptions — ensuring zero production downtime, mitigating >USD 100M potential losses", "Co-authored 7 technical whitepapers on yield analytics, process automation, and cross-site harmonisation", "Introduced hypothesis-driven problem solving in conversion workshops with 200+ participants" ] }, { "title": "Process and Equipment Engineer - Wet Process", "startDate": "2018-03", "endDate": "2019-10", "location": "Singapore", "description": "Built core engineering and program delivery foundations during the Hiroshima Fab Expansion.", "bullets": [ "Achieved USD 7.5M CAPEX savings through smart ramp planning and tool reuse across global fabs", "Developed 'MAXout' onboarding framework — boosted team productivity by 20%, later scaled across sites", "Aligned Hiroshima ramp plans with Boise and Singapore through remote calibration and parameter normalisation", "SAP exposure: material master/product codes, exception handling, and cross-team coordination" ] } ] }, { "company": "Tagvance x Maritime & Port Authority of Singapore", "roles": [ { "title": "Capstone Consultant (Geospatial Analytics)", "startDate": "2021-06", "endDate": "2021-11", "location": "Singapore", "description": "NUS MSc capstone in partnership with Tagvance and MPA — digital transformation focused on Industrial IoT and applied ML for maritime safety and enforcement.", "bullets": [ "Detected illegal vessel mooring and berth overloading using geospatial analytics with GPS and tidal-corrected clustering (K-means, DBSCAN)", "Built scalable ML pipeline on AWS (S3, Lambda) for real-time anomaly detection — reduced false positives by 22%", "Developed role-gated enforcement dashboards on AWS with secure access controls", "Delivered end-to-end prototype: data ingestion, ML analytics, and visualisation for maritime operations — influencing ~$2M potential annual revenue across four ports", "Facilitated stakeholder interviews to tailor technical design to regulatory use cases" ] } ] }, { "company": "Singapore Institute of Manufacturing Technology (SIMTech)", "roles": [ { "title": "Scientist Intern", "startDate": "2016-05", "endDate": "2017-05", "location": "Singapore", "description": "R&D in bio-lasing technologies under the mentorship of Dr. Derrick Yong — investigating biological materials as laser gain mediums.", "bullets": [ "Engineered and tested laser prototypes integrating biological components for experimental validation", "Automated data collection and visualisation processes using MATLAB, improving lab throughput", "Standardised experimental protocols, enhancing reproducibility for future scale-up" ] } ] }, { "company": "National University of Singapore", "roles": [ { "title": "Undergraduate Researcher", "startDate": "2016-01", "endDate": "2016-05", "location": "Singapore", "description": "Hydrogen evolution research under Prof. Jason Yeo — advancing catalyst science for sustainable energy.", "bullets": [ "First to identify sulfur atoms as active sites in amorphous MoSx catalysts — novel experimental finding", "Executed Operando Raman Spectroscopy to examine catalytic behaviour under real-time reaction conditions", "Supported catalyst synthesis and optimisation for next-generation fuel cells" ] } ] } ], "education": [ { "institution": "National University of Singapore", "degree": "Master of Science (MSc)", "field": "Smart Industries and Digital Transformation", "gpa": "4.85/5.00", "graduateCertificates": ["IoT Systems", "Intelligent Sensing", "Data Analytics"], "capstone": "Smart port IoT and sensor-based logistics with Maritime Port Authority", "startDate": "2020-01", "endDate": "2021-12" }, { "institution": "National University of Singapore", "degree": "Bachelor of Science (Honours)", "field": "Chemistry with Minor in Nanoscience", "gpa": "4.46/5.00 (Distinction)", "exchange": "Simon Fraser University, Canada", "startDate": null, "endDate": null }, { "institution": "NUS x Emeritus", "degree": "Certificate", "field": "Full Stack Development with AI", "details": "24-week programme: React, Flask, MongoDB, SQL, Node.js, REST APIs, AI integration", "startDate": "2025-03", "endDate": "2025-09" }, { "institution": "Heicoders Academy", "degree": "GA100 — Generative AI (WSQ Accredited)", "field": "Prompt Engineering, RAG, AI Agents, Workflow Automation (n8n), MCP", "startDate": "2025", "endDate": "2025" }, { "institution": "Project Management Institute", "degree": "Project Management Professional (PMP)", "field": null, "startDate": "2025", "endDate": "2025" }, { "institution": "At-Sunrice GlobalChef Academy", "degree": "WSQ Certificate", "field": "Pastry and Bakery", "startDate": "2018", "endDate": "2018" } ], "certifications": [ "GA100 — Generative AI (Heicoders Academy, WSQ Accredited, 2025)", "Full Stack Development with AI (NUS x Emeritus, 2025)", "Project Management Professional — PMP (2025)", "ISO 9001 Internal Audit & Risk Practices (Micron-led)", "Lean Six Sigma (Green Belt Equivalent)", "Data Analytics & Machine Learning (LinkedIn/NUS)", "Building the Foundation for an Effective Team", "Data Analysis and Root Cause Analysis in Six Sigma", "Leading a Cross-functional Team", "Machine Learning for Data Analytics (Competence)" ], "awards": [ "Micron Innovation Award (2022) — ResNet-50 computer vision model for wafer defect detection", "Micron Idea of the Quarter — Digital twin / wet process optimisation achieving 60% chemical reduction", "Micron Culture Champion — Cross-site collaboration, scanner rejects <0.5%, MA impact <0.1%", "NUS Awards for Study Abroad (NASA) — x2" ], "publications": [ "Modeling the Lasing Threshold of a Two-Photon Pumped Vitamin Solution", "7 internal technical whitepapers on yield analytics, process automation, and cross-site harmonisation (Micron)" ], "testimonials": [ { "author": "Dr. Zhang Linmiao", "title": "Distinguished Member of Technical Staff, Micron Technology", "quotes": [ "Excellent communication skills and an aptitude for building consensus among cross-functional and cross-cultural teams", "A trusted partner and someone I can rely on in challenging situations", "Analytical capabilities, stakeholder management skills, and passion for driving meaningful change" ] }, { "author": "Vimal Kumar Ramanathan", "title": "Senior Manager, Micron Technology", "quotes": [ "Approaches problems with structure, curiosity, and a commitment to long-term improvement", "Consistently looks beyond short-term fixes to design sustainable, data-driven solutions", "Energy, analytical rigour, and a collaborative spirit — thrives in complex environments that require cross-functional coordination and innovation" ] } ], "portfolioApps": [ { "name": "Job Hunter SG", "url": "https://job.kooexperience.com", "description": "Singapore job search product with multi-source scraping, RAG semantic matching, ATS scoring, role-fit keyword checks, fact preservation, and five validation gates.", "tech": ["SEA-LION", "RAG", "ATS Scoring", "Validation Gates", "FastAPI", "React"] }, { "name": "Trader Koo", "url": "https://trader.kooexperience.com", "description": "Evidence-first market research workflow with source freshness, ranked setups, chart-pattern detection, paper-trade audit trails, Telegram alerts, and model versioning.", "tech": ["FastAPI", "React", "YOLOv8", "LightGBM", "SHAP", "SQLite", "Telegram"] }, { "name": "Japan in Seasons", "url": "https://seasons.kooexperience.com", "description": "Japan seasonal travel map and MCP server with 12 tools, 1,700+ GPS-tagged places, real forecast data, dot-notation tool design, and 100/100 Smithery score.", "tech": ["TypeScript", "Leaflet", "MCP", "Smithery 100/100"] }, { "name": "Amex Explorer", "url": "https://amex-explorer.kooexperience.com", "description": "Source-backed Amex Platinum benefit explorer with official source hashes, cached metadata, map-first UX, source-change issues, Table for Two availability checks, and alert workflows.", "tech": ["TypeScript", "Leaflet", "Playwright", "GitHub Actions", "Source Monitoring"] }, { "name": "Enterprise Planning Workflow", "url": "https://kooexperience.com/#projects", "description": "Public-safe architecture pattern for enterprise planning workflows: specs, RAG, stateful orchestration, validators, traces, human review, auditable handoff, and future agent-run scoring.", "tech": ["LangGraph", "Langfuse", "Arize Phoenix", "RAG", "Evaluation Frameworks", "Human-in-the-Loop", "Spec-Driven Development"] }, { "name": "LionWeather", "url": "https://lionweather.kooexperience.com", "description": "Singapore weather intelligence with NEA real-time data, ML-powered rainfall forecasting (LightGBM), and SHAP analysis", "tech": ["React", "LightGBM", "Leaflet", "SHAP"] }, { "name": "Photo Compliance Studio", "url": "https://studio.kooexperience.com", "description": "Passport-style photo compliance checks with country rules, quality diagnostics, and guided corrections", "tech": ["MediaPipe", "OpenCV", "FastAPI"] }, { "name": "Preflight", "url": "https://preflight.kooexperience.com", "description": "Dataset triage workbench for CSV/Parquet files. Checks missingness, duplicates, feature types, EDA, correlations, baseline models, CV metrics, and secured deployment defaults.", "tech": ["Dash", "scikit-learn", "Plotly", "Docker", "Railway"] }, { "name": "MinMax Wine", "url": "https://wine.kooexperience.com", "description": "Wine deal intelligence pipeline with scraping, fuzzy matching, Brave/Vivino resolution, identity cache, quarantine checks, guarded review loop, and 0-100 deal scoring.", "tech": ["Brave Search", "Selenium", "FastAPI", "SQLAlchemy", "PostgreSQL"] } ], "keyMetrics": { "businessImpact": "USD 600M+", "businessImpactContext": "Aggregate value of programs I led, co-led, or contributed to as tracked in Micron internal program reviews.", "engineersAligned": "3,000+", "liveApps": 8, "mlModels": 4, "yearsExperience": "7+", "globalSites": "4 fabs (Singapore, Boise, Hiroshima, Taichung)", "teamManaged": "6 direct + 9 indirect engineers", "budgetManaged": "USD 9M operational portfolio", "whitepapers": 7 } }