← Back to portfolio

Technical inventory / secondary reading

Methods connected to evidence.

A detailed reference for collaborators and reviewers who want to inspect breadth without turning the main portfolio into a keyword wall. Each capability group points to the closest public work or research route; a linked project is not a certification of mastery in every listed tool.

Applied systems and research interests

Built systems lead. Emerging interests are stated separately and with scope.

Applied Systems Base

Built, evaluated, and delivered systems

01Production AI Reliability02Document Intelligence03Semantic Retrieval & RAG04Temporal Graph Learning05Computer Vision06Robotics & Sim2Real07Reinforcement Learning08Data & API Workflows09Technology Strategy
Current Research & Governance

Doctoral direction and active research interests

01Responsible Generative AI02AI Governance03Standards-Aligned Systems04Human Agency & Oversight05Privacy & Data Governance06Transparency & Traceability07AI Literacy08Socio-Technical Evaluation09Decision Support & Digital Transformation

Working Method

From raw inputs to dependable deployment.

A practical evaluation loop grounded in the way I build and inspect applied AI systems.

  1. 01

    Ingest

    Map inputs, schemas, edge cases, constraints, and the operational path around the model.

  2. 02

    Benchmark

    Establish reproducible baselines and measurable success conditions before tuning the system.

  3. 03

    Error-analyse

    Trace failures across data, model, transformation, validation, and review boundaries.

  4. 04

    Adapt

    Change the representation, workflow, threshold, or model only where the findings justify it.

  5. 05

    Deploy

    Document limitations, preserve traceability, and translate results into a workflow people can inspect.

Technical Outputs

Capability Map

A deeper inventory of methods and tools, each linked to the closest inspectable system or research route instead of presented as an ungrounded keyword cloud.

Responsible Generative AI, Governance and Standards

  • Responsible Generative AI
  • AI governance
  • Standards-aligned system design
  • Human oversight
  • Human agency
  • Privacy and data governance
6 additional methods
  • Transparency
  • Traceability
  • AI literacy
  • Risk controls
  • Socio-technical evaluation
  • Technical communication

Closest output

Responsible GenAI research routeReliability case study

Generative AI, RAG and Multilingual Interaction

  • Large Language Models
  • Retrieval-Augmented Generation
  • Document chunking
  • Vector embeddings
  • Context injection
  • Prompt design
4 additional methods
  • Grounded generation
  • Language detection
  • Translation workflows
  • Cross-lingual retrieval

Closest output

LLM assistant case studyRedditPulse case studyRedditPulse code

NLP, Information Retrieval and Social Intelligence

  • Text preprocessing
  • Tokenisation and lemmatisation
  • Named-entity recognition
  • TF-IDF baselines
  • Sentence-transformer embeddings
  • FAISS retrieval
4 additional methods
  • Ranking logic
  • Sentiment modelling
  • Topic classification
  • Trend and community analysis

Closest output

Semantic-search case studyRedditPulse evaluationRedditPulse code

Machine Learning, Data Science and Evaluation

  • Supervised learning
  • Classification
  • Predictive modelling
  • Clustering
  • Exploratory data analysis
  • Feature engineering
6 additional methods
  • Cross-validation
  • Hyperparameter tuning
  • Confusion-matrix analysis
  • Comparative benchmarking
  • Error analysis
  • Regression testing

Closest output

ML evaluation case studySim2Real benchmark

Computer Vision, Robotics and Sim2Real

  • Convolutional neural networks
  • Transfer learning
  • Fine-tuning
  • Image augmentation
  • Fine-grained recognition
  • Domain-shift analysis
4 additional methods
  • Robot-camera adaptation
  • ROS2 integration
  • Confidence thresholds
  • Vision-to-action pipelines

Closest output

Sim2Real case studyPasta robot code

Reinforcement Learning and Dynamic Decision Systems

  • Q-learning
  • DQN
  • PPO
  • Sparse-reward environments
  • Reward shaping
  • Frame stacking
6 additional methods
  • Frame skipping
  • Temporal observations
  • Training-curve analysis
  • Policy evaluation
  • Temporal graph learning
  • Dynamic risk modelling

Closest output

RL benchmark case studyTemporal GNN case study

Production AI, Data and Cloud Workflows

  • OCR evaluation
  • Azure Document Intelligence
  • Structured extraction
  • AWS S3
  • boto3
  • JSON transformation
8 additional methods
  • Confidence analytics
  • Error-code analysis
  • Adversarial testing
  • REST/SOAP APIs
  • SQL
  • Docker
  • Linux
  • Auditability and deployment risk

Closest output

Production reliability case study

Technology Leadership and Delivery

  • Technology strategy
  • Systems implementation
  • Digital operations
  • Stakeholder coordination
  • Roadmapping
  • SOPs
4 additional methods
  • Operational workflows
  • Automation assessment
  • GIS and mapping
  • Decision-ready reporting

Closest output

ExperienceRésumé

Research and engineering

Research Methods & Engineering Toolkit

Methods, implementation tools, and delivery capabilities used across research, production-oriented evaluation, and digital systems work.

Research, evaluation and governance methods

Methods used to move from technical performance toward reliable, auditable, and responsible system decisions.

  • Experimental Design
  • Baseline Comparison
  • Benchmarking
  • Error Analysis
  • Confidence Analysis
  • Failure-Mode Analysis
  • Retrieval Evaluation
  • Temporal Modelling
  • Graph Learning
  • Domain-Shift Evaluation
  • Regression Testing
  • Traceability
  • Reproducibility
  • Risk Analysis
  • Human-Oversight Design
  • Standards Mapping
  • Socio-Technical Analysis
  • Technical Governance

Applied engineering and delivery toolkit

Languages, libraries, platforms, and workflow tools used across AI, data, software, cloud, robotics, and digital operations.

  • Python
  • SQL
  • JavaScript
  • PHP
  • Java
  • C#
  • PyTorch
  • TensorFlow
  • scikit-learn
  • Hugging Face
  • Sentence Transformers
  • FAISS
  • NetworkX
  • pandas
  • NumPy
  • Matplotlib
  • Streamlit
  • Jupyter
  • ROS2
  • Docker
  • Linux
  • AWS S3
  • boto3
  • Azure Document Intelligence
  • JSON
  • REST/SOAP APIs
  • MySQL
  • Oracle
  • Git
  • GIS/Google Maps APIs

Training and professional development

Selected Professional Development

Targeted learning that strengthens the bridge between AI engineering, responsible use, teaching, governance, computer science, and leadership.

Self-reported learning record. Completion claims should be checked against certificates or provider records; in-progress entries are not described as completed.

Completed 15 Aug 2026

Artificial Intelligence (AI) Education for Teachers

Macquarie University + IBM · Coursera

AI literacy, teaching practice, and responsible classroom integration.

In progress · Aug 2026

University Teaching

The University of Hong Kong · Coursera

Higher-education teaching, learning design, and reflective academic practice.

Completed 2023

Ethics and Governance of Artificial Intelligence for Health

World Health Organization

Ethics, governance, accountability, and responsible AI in a high-stakes domain.

Completed

CS50x: Introduction to Computer Science

Harvard University

Computer-science foundations, programming, algorithms, data structures, and systems thinking.

Completed 2026

Design Thinking

Macquarie University Incubator × KPMG

Human-centred problem framing, ideation, validation, and collaborative innovation.

Certified with Distinction

UPG Sustainability Leader

United People Global

Sustainability leadership, citizen action, community impact, and SDG-oriented initiatives.