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Skills & stack

The Stack Behind Practical AI Delivery.

A working map of the AI, data, cloud, automation, and delivery capabilities I use to turn business requirements into systems that can be understood, governed, and used.

Capability map

Skills grouped by how I use them.

Every capability here is backed by work, projects, academic experience, or professional credentials.

AI & Generative AI

Designing useful language-model workflows with clear grounding, structured outputs, and human control.

  • Agentic AI
  • LLM applications
  • RAG
  • LangChain
  • LangGraph
  • Crew
  • Prompt engineering
  • Structured outputs
  • Human-in-the-loop

AI Architecture & Solution Design

Turning a business request into an end-to-end architecture with orchestration, state, integration, and recovery paths.

  • Multi-agent orchestration
  • Supervisor-worker patterns
  • Planner-executor design
  • MCP tools
  • SQL generation
  • System design
  • Saga pattern

Machine Learning & Analytics

Building analytical workflows that connect data preparation, model evaluation, forecasting, visualization, and decisions.

  • Predictive modelling
  • Feature engineering
  • Model evaluation
  • XGBoost
  • KNN
  • ARIMA
  • TensorFlow
  • Random Forest
  • Logistic Regression
  • LightGBM
  • Streamlit
  • RapidMiner

Data Engineering

Preparing, moving, validating, and structuring data so analytics and AI systems have dependable foundations.

  • Python
  • R
  • SQL
  • Pandas
  • NumPy
  • ELT / ETL pipelines
  • Data preprocessing
  • ClickHouse
  • Data warehousing
  • Data quality
  • Data migration

Cloud & MLOps

Mapping solution needs to cloud services for runtime, integration, scheduling, security, monitoring, and BI delivery.

  • AWS
  • Amazon Bedrock AgentCore
  • Lambda
  • EventBridge
  • S3
  • API Gateway
  • QuickSight
  • OCI
  • Azure AI
  • MLOps
  • CI / CD
  • Monitoring

Automation, BI & Enterprise Systems

Connecting business workflows, reporting tools, enterprise systems, and automation platforms to reduce manual effort.

  • n8n
  • UiPath
  • REST APIs
  • Webhooks
  • SharePoint
  • Microsoft Teams
  • Power BI
  • Qlik Sense
  • Oracle NetSuite
  • SuiteAnalytics
  • Saved Searches
  • Salesforce Agentforce

Governance & Delivery

Keeping technical work aligned with people, risk, accountability, and the business outcome it is meant to support.

  • AI governance
  • Responsible AI
  • Cloud security
  • Agile delivery
  • Scrum
  • Stakeholder management
  • Technical coordination
  • Solution delivery

Languages & Development

Communication and implementation fluency are part of the technical toolkit, especially when translating requirements across teams and contexts.

  • English - proficient
  • Chinese - native
  • Malay - proficient
  • Java
  • HTML
  • JavaScript
  • SAS

Evidence in practice

Where the stack becomes delivery.

See how these skills become real systems, delivery decisions, and measurable outcomes.

Agentic Workflow Architecture

RAG policy validation, structured state, human approval, recommendation ranking, revalidation, and recovery design.

Conversational AI and agentic BI

A2A architecture, governed enterprise data access, scheduling, MCP integration, and an RM30k MRR target.

Data Engineering and ML

Python, R, SQL, RapidMiner, BI, forecasting, and automation across 10M+ records of analytics delivery.

Technical Leadership

Stakeholder translation, Agile delivery, Scrum ceremonies, sprint planning, mentoring, and coordination across cross-functional technical teams.