I architect and deploy production AI systems that solve billion-dollar infrastructure problems — not just research papers.

The rare combination you're looking for:

• ✅ Research depth: PhD candidate, Q1 publications, 3 patents, beat MIT/NUS/NTU in competitions
• ✅ Production experience: Deployed systems supporting 90M users and $76B daily volume at Binance
• ✅ Business acumen: Independently secured $438K USD in government contracts
• ✅ Technical leadership: Managing 28 researchers across multi-ministry projects
• ✅ Execution velocity: 10-month Master's completion, fast-tracked PhD, immediate impact at Binance
• ✅ Global validation: 5 major international awards, competed against top global universities

Currently: Leading $438K in AI infrastructure deployments targeting 80% automation at world's 10th busiest container port.

Dec 2024 - Present | Kuala Lumpur, Malaysia

Leading technical strategy and execution for $438K USD in government-funded AI infrastructure projects revolutionizing Malaysia's logistics sector.

Active Projects:

• Contract Value: $360K USD (RM 1.59M) | Duration: Feb 2026 - Feb 2028
• Scope: Multi-site computer vision deployment across Peninsular Malaysia
• Scale: Port Klang — 12th busiest container port globally by TEU volume
• Target KPI: 80% automation of depot operations
• Tech Stack: Docker, PyTorch, CUDA, HuggingFace Transformers, Grafana, OpenTelemetry, SQL
• Innovation: Real-time container tracking and anomaly detection at industrial scale

• Contract Value: $78K USD (RM 346K) | Duration: Nov 2025 - May 2027
• Scope: Automating 5 critical logistics pillars (Registry, Inspection, Repair, Allocation, Routing)
• Innovation: 90% reduction in annotation time through novel deep learning pipeline
• Impact: Digital transformation under Malaysia's 12th National Development Plan
• Tech Stack: Python, PyTorch, Transformers, Computer Vision, Deep Learning, Production ML

Leadership & Stakeholder Management:

• Managing technical outputs from 28 undergraduate and postgraduate researchers
• Cross-ministry stakeholder coordination (MOHE, MOSTI)
• Strategic partnerships: Microsoft Startups Founders Hub, HKSTP Startups Alumni Association
• Academic collaboration: Universiti Malaya (QS #58 globally)

Key Achievements:

• Secured $438K in competitive government funding independently
• Architected systems for 80% operational automation at major logistics hub
• Built technical team capable of production ML deployment at industrial scale

Jul 2024 - Dec 2024 | Global (Remote)

Drove quality engineering and automation for the world's largest cryptocurrency exchange, supporting massive scale operations.

Scale & Impact:

• Users Served: 90 million global customers
• Daily Volume: $76 billion in trading volume (FIAT division)
• Efficiency Gain: Reduced 100+ engineering hours per week through automation

Technical Contributions:

• Led forward engineering projects in compliance-critical FIAT division
• Implemented functional and regression test automation for production monitoring
• Delivered production-grade systems where downtime = millions in lost revenue
• Maintained 99.9%+ uptime in high-stakes financial environment

Technologies: Python, Selenium, Jenkins, CI/CD, Test Automation, Production Monitoring, Regulatory Compliance Testing

Mar 2022 - Jun 2024 | Kuala Lumpur, Malaysia

Led cutting-edge AI research resulting in Q1 journal publication and international recognition while managing research teams.

Research Impact:

• Publications: First-author Q1 Elsevier Journal + IEEE Conference paper
• Patents: 3 AI-powered logistics inventions (applications in process)
• Innovation: 90% reduction in biological image annotation time through novel deep learning pipeline
• Leadership: Led research teams competing in international tournaments

Key Research Achievements:

• Developed deep learning pipeline for spheroid invasion analysis (published in Elsevier Q1 journal)
• Pioneered energy-efficient continual learning architectures for autonomous systems (IEEE)
• Created novel single-cell image segmentation methods reducing annotation time by 90%
• Conducted research in computer vision, autonomous systems, and edge AI

🥇 Best Oral Presentation — UM Innovation Expo & International Research Conference
October 2025 | Best Speaker Award for novel AI research

🥉 HK Techathon+ 2024 — Bronze Medal, Smart City Track
January 2024 | Competed against MIT, NUS (#11 global), NTU (#12 global), TsingHua
Organized by Hong Kong Science and Technology Park (HKSTP)

🏅 SATU SMART Innovation Competition
October 2023 | Led groundbreaking single-cell segmentation research for NCKU Taiwan
Achieved 90% annotation time reduction vs. traditional methods

🥇 UM Alphathon 2023 — Gold Tier
November 2023 | WorldQuant quantitative finance competition
Now certified WorldQuant Research Consultant

🥇 Intel Mobile Robotics Design Challenge — National Champion
October 2023 | Defeated all Malaysian public and private universities
Open-source robotics competition organized by Intel & SCUTTLE Robotics Asia

💡 What This Proves: Consistent ability to compete and win at the highest levels under pressure, validated by global universities and industry leaders

Universiti Malaya (QS #58 Globally) | Mar 2025 - Mar 2027 (Expected)

• Fast-Tracked: Converted from Master's after exceptional 10-month completion
• Research Focus: Energy-efficient AI architectures for autonomous systems
• Advisor: Prof. Dr. Loo Chu Kiong (Faculty Profile)
• Innovation: 3 patents in application with Malaysian government

Universiti Malaya | Oct 2020 - Mar 2024 | GPA: 3.96/4.00

• Honours: First-Class with Dean's Award
• Scholarship: OCBC Bank Scholar
• Certification: WorldQuant Certified Research Consultant
• Leadership: Master of Ceremony, YLS PBCUM
• Achievement: Top 1% of cohort

"A Deep Learning-Based Pipeline for Analyzing the Influences of Interfacial Mechanochemical Microenvironments on Spheroid Invasion Using Differential Interference Contrast Microscopic Images"
Elsevier Q1 Journal | December 2023 | First Author
Novel deep learning approach achieving 90% efficiency improvement in biological image analysis

"Energy-Efficient Continual Learning for Autonomous Driving"
IEEE Conference | November 2023 | First Author
Research on sustainable AI architectures for real-time autonomous systems

3 AI-Powered Logistics Inventions | Application in Process
Patent applications filed with Malaysian government for novel AI methods in:

• Automated container inspection and damage assessment
• Intelligent routing and allocation optimization
• Computer vision-based container registry systems

Deep Learning Frameworks

• PyTorch (Advanced) — Production model training and deployment
• TensorFlow (Proficient) — Multi-framework experience
• HuggingFace Transformers (Advanced) — SOTA model implementation

Computer Vision

• OpenCV — Image processing and manipulation
• Custom CNN Architectures — ResNet, VGG, EfficientNet
• Vision Transformers — ViT, DINO, SAM
• Object Detection — YOLO, R-CNN families, modern detectors
• Semantic Segmentation — U-Net, DeepLab, modern architectures

Natural Language Processing

• Transformer Models — BERT, GPT, T5 architectures
• Fine-tuning & Transfer Learning
• Prompt Engineering & LLM Optimization

ML Operations & Infrastructure

• Docker & Containerization — Multi-stage builds, orchestration
• CUDA & GPU Optimization — Accelerated computing (NVIDIA Certified)
• Model Deployment — Production inference pipelines
• MLOps — CI/CD for ML, model versioning, A/B testing

Observability & Monitoring

• Grafana — Metrics visualization and alerting
• OpenTelemetry — Distributed tracing and telemetry
• Production Monitoring — Real-time system health

Databases & Storage

• SQL — Query optimization, schema design, indexing
• Database Performance — Query profiling, optimization strategies

• Transfer Learning & Fine-Tuning
• Few-Shot Learning
• Continual Learning & Lifelong Learning
• Federated Learning Concepts
• Model Compression & Quantization
• Neural Architecture Search
• Generative Adversarial Networks (GANs)
• Reinforcement Learning Fundamentals

Programming Languages

• Python (Expert) — NumPy, Pandas, scikit-learn, Matplotlib
• Java (Proficient) — Bootcamp instructor experience
• SQL (Proficient) — Production database management

Development Practices

• Git & Version Control
• Agile/Scrum Methodologies
• Code Review & Documentation
• Testing & Quality Assurance
• CI/CD Pipelines

Industry-Recognized:

• ✅ Graduate Technologist — Malaysia Board of Technologists (MBOT) - Registered Professional
• ✅ NVIDIA CUDA Certified — Fundamentals of Accelerated Computing with CUDA Python
• ✅ Top 5% Machine Learning Engineer — Pro5.ai Platform
• ✅ WorldQuant Research Consultant — Quantitative Finance
• ✅ Google Data Analytics Professional Certificate
• ✅ Intel Edge AI Certification

Additional Certifications:

• Applied Data Science Lab (WorldQuant University)
• Blockchain & Cryptocurrency Fundamentals (Binance Academy)
• DApps, DeFi, NFT Essentials (Binance Academy)
• Cybersecurity Fundamentals (IBM)
• CCNA: Introduction to Networks (Cisco)

Role Titles:

• Senior Machine Learning Engineer / AI Engineer
• Staff ML Engineer (with path to Principal/CTO)
• AI Research Lead / Research Scientist (production-focused)
• Director of AI / VP of Engineering
• Technical Co-Founder (Series A+ startups)

Company Stage:

• Series A+ startups with product-market fit
• Established tech companies (public or late-stage)
• Not interested in pre-product/pre-revenue early stage

Technical Challenges:

• Production ML systems at scale (millions of users or industrial deployments)
• Computer vision, autonomous systems, logistics, infrastructure AI
• Research problems requiring novel solutions + production deployment
• MLOps, model serving, and infrastructure optimization
• Building ML platforms and tools for engineering teams

What I Value:

• 🔬 Technical depth: Problems requiring both research and systems thinking
• 📈 Growth trajectory: Clear path to technical leadership (Staff → Principal → CTO/Chief Scientist)
• 🎯 Mission alignment: Logistics, autonomous systems, computer vision, critical infrastructure
• 🌍 Global reach: International collaboration, distributed teams
• 💰 Competitive compensation: $200K-$400K+ total comp reflecting track record

Location & Mobility:

• Current: Kuala Lumpur, Malaysia
• Open to: Remote, Hybrid, or Full Relocation
• Preferred: Singapore
• Can start: Immediate for the right opportunity, flexible with current commitments

Languages:

• Native: English, Mandarin, Malay
• Professional: Hokkien
• Limited: Cantonese

Work Authorization:

• Malaysian citizen
• Open to sponsorship for right opportunity
• Experience working with global distributed teams (Binance)

• ❌ Early-stage pre-product startups (looking for Series A+)
• ❌ Roles without clear technical leadership path
• ❌ Junior or mid-level individual contributor positions

Most senior ML candidates have 1-2 of these. I have all 6:

• PhD candidate at QS #58 university
• Published first author in Q1 Elsevier journal and IEEE conference
• 3 patents in application
• Beat MIT, NUS, NTU in international AI competitions
• Research in computer vision, autonomous systems, continual learning

• Built systems supporting 90M users at Binance
• Deployed AI for $76B daily trading volume
• 80% automation target at world's 12th busiest container port
• Production-grade MLOps: Docker, CUDA, monitoring, observability

• Independently secured $438K USD in government contracts
• Navigated multi-ministry stakeholder landscapes (MOHE, MOSTI)
• Built partnerships with Microsoft Startups, HKSTP
• Understand P&L, project economics, ROI metrics

• Managing 28 undergraduate and postgraduate researchers
• Cross-functional collaboration with academic and industry partners
• Mentored 130+ students in programming bootcamps
• Director-level experience before completing PhD

• 5 major awards including beating MIT, NUS, NTU
• Bronze at HKSTP Techathon+ against global universities
• Gold at WorldQuant Alphathon (quantitative finance)
• National Champion: Intel Mobile Robotics Challenge

• 10-month Master's completion (typical: 2-3 years)
• Fast-tracked to PhD in same timeline
• Immediate impact at Binance: 100+ hours/week saved
• 90% efficiency improvement in research pipeline

The Bottom Line: I ship production systems informed by cutting-edge research. Not just papers that sit in journals. Not just code that breaks in production.

Java Rangers | Oct 2022 - Jan 2023
Developed and facilitated 4-month Java Programming Bootcamp for 30+ University of Malaya undergraduates

• Achievement: 95% completion rate, 20% increase in programming proficiency
• Audience: Diverse backgrounds with zero prior programming experience
• Curriculum: Designed full syllabus from fundamentals to OOP concepts

Project J | Mar 2021 - Jul 2021
Developed and facilitated 5-month Java Programming Bootcamp for 100+ nationwide secondary school students

• Achievement: 30% increase in Java programming proficiency
• Scale: Remote instruction during pandemic to students across Malaysia
• Impact: Inspired next generation of computer science students

Young Buddhist Fellowship (YBF) | Jan 2013 - Dec 2016
Young Buddhist Association of Malaysia (YBAM) | Ayer Hitam, Johor

• Delivered weekly activities and annual camps for local youth
• 20% increase in participation rates over 4-year period
• Developed leadership, communication, and organizational skills

Total Students Impacted: 130+ across 9 months of technical instruction

• 📧 Email: ngqiding@gmail.com
• 💼 LinkedIn: linkedin.com/in/qi-ding-ng
• 💻 GitHub: github.com/nGQD
• 🌐 Portfolio: innocount.innonics.ip-ddns.com
• 📞 Phone: (+60) 10-798 8855

⏱️ Typically <48 hours for partnership and opportunity inquiries

Prof. Dr. Loo Chu Kiong
Professor, Faculty of Computer Science and Information Technology
Universiti Malaya (QS #58 Globally)
https://umexpert.um.edu.my/ckloo-um

Additional references available upon request from Binance and industry collaborators

Role Keywords: Senior Machine Learning Engineer • Staff ML Engineer • AI Research Lead • Research Scientist • Principal ML Engineer • Director of AI • VP Engineering • Technical Co-Founder • AI Architect • ML Infrastructure Lead • Computer Vision Engineer • NLP Engineer • MLOps Engineer • AI Director • Head of AI • Chief AI Officer

Technical Keywords: Machine Learning • Deep Learning • Artificial Intelligence • Computer Vision • Natural Language Processing • PyTorch • TensorFlow • CUDA • Docker • Kubernetes • MLOps • Production ML • Model Deployment • Transformers • BERT • GPT • ViT • YOLO • Object Detection • Semantic Segmentation • Image Classification • CNN • RNN • LSTM • GAN • Reinforcement Learning • Transfer Learning • Few-Shot Learning • Meta-Learning • Continual Learning • AutoML • Neural Architecture Search • Model Optimization • Quantization • Pruning • Knowledge Distillation • Distributed Training • GPU Optimization • NVIDIA • HuggingFace • OpenCV • scikit-learn • NumPy • Pandas • Matplotlib • Python • Java • SQL • Git • CI/CD • Grafana • OpenTelemetry • Prometheus • Microservices • REST API • GraphQL • Test Automation • Quality Assurance

Industry Keywords: Fintech • Financial Technology • Cryptocurrency • Blockchain • Logistics Automation • Supply Chain • Autonomous Systems • Robotics • Self-Driving • Edge AI • Industrial AI • IoT • Computer Vision Applications • Infrastructure AI • Enterprise AI • B2B SaaS • Platform Engineering • AI Infrastructure • ML Platform • Data Science • Big Data • Cloud Computing • AWS • GCP • Azure

Education Keywords: PhD • Doctor of Philosophy • Computer Science • Artificial Intelligence • Masters Degree • Bachelor's Degree • First Class Honours • Research Publication • Q1 Journal • IEEE • Elsevier • Patent • Inventor • QS Ranking • University Research • Academic Excellence • Published Researcher • Graduate Researcher

Achievement Keywords: Competition Winner • Hackathon • Award Winner • Scholarship Recipient • Dean's Award • International Competition • MIT • NUS • NTU • WorldQuant • Intel • Microsoft • Binance • Government Contract • Grant Recipient • Innovation Award • Best Presentation • Gold Medal • Champion

Location Keywords: Malaysia • Kuala Lumpur • Singapore • Remote • Hybrid • Open to Relocation • Asia Pacific • Southeast Asia • APAC • Global • International • Distributed Team • English • Mandarin • Malay • Multilingual

Leadership Keywords: Director • Team Lead • Research Lead • Project Manager • Stakeholder Management • Cross-Functional • Budget Management • Resource Allocation • Strategic Planning • Mentorship • Instructor • Technical Leadership • People Management • 28 Researchers • Government Relations • Ministry Collaboration

Business Keywords: Revenue Generation • Contract Negotiation • Business Development • P&L • ROI • KPI • Metrics Driven • Stakeholder Management • Strategic Partnerships • Government Contracts • Funding • Grant • Series A • Startup • Scale-up • Entrepreneurship • Founder • Microsoft Startups • HKSTP

📈 GitHub Activity

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Profile Stats

_{Last Updated: February 2026 | All metrics verified and factually accurate | Available for immediate opportunities}

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Looking for someone who can ship production AI systems at scale while staying on the bleeding edge of research?
Let's talk. 👆