{ "name": "Haoming Koo", "headline": "Applied AI Engineer | Production ML Systems | RAG, Agents & Evals | 8 Live Apps | 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 with 7 years of systems experience. I build AI systems for complex operational work: RAG workflows, tool-using agents, evals, observability, vision pipelines, and product interfaces. I spent 7 years at Micron across semiconductor manufacturing, cloud, and data platforms. The work supported cross-site programs across four fabs and contributed to USD 600M+ in program outcomes. I now build production ML systems at AI Singapore, including an industry AI solution with AMD through the 100E programme.", "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, including an industry AI solution with AMD through the 100E programme.", "bullets": [ "Delivered production-ready pipelines using GitLab CI/CD, Docker, and Google Cloud — including backend inference services and frontend UIs", "Contributing to an industry AI solution with AMD through AI Singapore's 100E programme", "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", "Separately build and maintain 8 public portfolio applications at kooexperience.com, including RAG workflows, market research tools, MCP travel intelligence, and ML demos", "Expanding into NLP, LLM architectures, LangGraph-style orchestration, observability, and agentic AI workflows" ] } ] }, { "company": "Micron Technology", "totalDuration": "7 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 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 public-safe enterprise planning workflow patterns with retrieval, governed text-to-SQL, root-cause investigation, 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": ["React", "FastAPI", "SEA-LION", "sentence-transformers", "SQLAlchemy", "LangGraph", "Railway"] }, { "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", "LightGBM", "YOLOv8", "SQLite", "APScheduler", "Telegram"] }, { "name": "Japan in Seasons", "url": "https://seasons.kooexperience.com", "description": "Japan seasonal travel map, REST API, and MCP server with 17 read-only tools, live JMC/JMA data, Open-Meteo spot weather, and crawlable seasonal pages.", "tech": ["TypeScript", "MCP SDK", "Node HTTP", "Zod", "Railway"] }, { "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": ["Python", "Playwright", "GitHub Actions", "Source Hashes", "GitHub Pages"] }, { "name": "LionWeather", "url": "https://lionweather.kooexperience.com", "description": "Singapore weather app with live NEA ingestion, radar cache, saved locations, and LightGBM rainfall forecasts trained with temporal validation.", "tech": ["React", "FastAPI", "LightGBM", "NEA API", "SQLAlchemy", "APScheduler"] }, { "name": "Photo Compliance Studio", "url": "https://studio.kooexperience.com", "description": "Passport/ID photo rules engine with face landmarks, segmentation, crop/background assist, and country-profile checks.", "tech": ["FastAPI", "MediaPipe", "OpenCV", "rembg", "ONNX Runtime", "Docker"] }, { "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", "Plotly", "scikit-learn", "Pandas", "Gunicorn", "Docker"] }, { "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": ["FastAPI", "Selenium", "SQLAlchemy", "PostgreSQL", "Brave Search", "Gemini", "Railway"] } ], "keyMetrics": { "businessImpact": "USD 600M+", "businessImpactContext": "Aggregate value of programs I led, co-led, or contributed to as tracked in Micron internal program reviews.", "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 } }