Dennis Pang Jia Wang
Senior AI Engineer | AI Solution Architect
dennis000626@gmail.com | linkedin.com/in/dennispjw | Kuala Lumpur, Malaysia
Summary
AI and Data Solutions Professional with expertise in Agentic AI, enterprise AI architecture, LLM-enabled analytics, data engineering, and intelligent automation. Experienced in architecting scalable AI and data solutions, designing multi-agent workflows, RAG-enabled validation, conversational BI platforms, and production ELT/ML pipelines that deliver measurable business value. Proven leadership coordinating technical delivery across 9-member cross-functional teams and bridging business stakeholders with engineering teams.
Technical skills
AI and Generative AI: Agentic AI, LLM Applications, RAG, LangChain, LangGraph, Crew, Prompt Engineering, Structured Outputs, Human-in-the-Loop
AI Architecture: Multi-Agent Orchestration, Supervisor-Worker Patterns, Planner-Executor Design, MCP Tools, SQL
Machine Learning: Predictive Modelling, Feature Engineering, Model Evaluation, Optimization, XGBoost, KNN, ARIMA, TensorFlow
Data Engineering: Python, SQL, ELT/ETL Pipelines, Data Preprocessing, ClickHouse, Data Warehousing, Data Quality
Cloud and MLOps: AWS, Amazon Bedrock AgentCore, Lambda, EventBridge, S3, API Gateway, QuickSight, OCI, Azure AI, Kubernetes, MLOps, CI/CD, Monitoring
Automation and Analytics: n8n, UiPath, REST APIs, Webhooks, SharePoint, Microsoft Teams, Power BI, Qlik Sense
Governance and Delivery: AI Governance, Responsible AI, Cloud Security, Agile Delivery, Scrum, Stakeholder Management, Technical Coordination, Solution Delivery
Languages: English (Proficient), Chinese (Native), Malay (Proficient)
Professional experience
Analytics Specialist | Quandatics (M) Sdn. Bhd.
May 2025 - Present- Designed an HR travel multi-agent automation architecture using n8n, Microsoft Teams, RAG policy validation, SharePoint audit records, APIs, structured JSON, and human-in-the-loop approvals to automate eight core workflows, designed to reduce manual coordination by up to 95%.
- Engineered request-state management, revalidation, idempotency, and Saga-style rollback concepts for price changes, partial booking success, refunds, and booking modifications, designed to reduce manual exception handling by up to 90%.
- Co-led QData architecture and business-solution design in a 9-person team, defining the multi-agent AWS platform, governance, and nine-sprint roadmap for 2 paid pilots across 5 business units and 20+ users; reduced initial analysis turnaround to fact-checked answers within 3 minutes.
- Delivered RapidMiner data engineering and analytics work across Python, SQL, AWS, ClickHouse, Qlik Sense, Power BI, KNN, XGBoost, and ARIMA, processing 10M+ records and improving forecasting accuracy by 80%.
- Automated Excel, PDF, Word, ERP, email, and master-tracker workflows with UiPath, improving efficiency by up to 90% and reducing processing time by 80%.
Finance Transformation and Digitalisation Intern | Quandatics (M) Sdn. Bhd.
Nov 2024 - May 2025- Supported Oracle NetSuite Saved Searches and SuiteAnalytics for ERP migration and e-Invoice reporting.
- Migrated 1,200+ AutoCount financial records and built reporting for AP, AR, managers, CFO, and CEO stakeholders.
- Reduced report preparation effort by up to 70% and supported same-day reporting across 10+ stakeholders.
Education
Bachelor of Computer Science (Honours) in Data Science | Tunku Abdul Rahman University of Management and Technology
Jun 2022 - Jun 2025CGPA 3.36. Final-year project: Airbnb New User Prediction System.
Diploma in Computer Science | Lincoln University College
May 2019 - May 2022CGPA 3.75.
Leadership and achievements
- Led a six-member cross-functional RapidMiner ML project team through Scrum ceremonies, sprint planning, mentoring, and tracking.
- Coordinated Agile delivery across engineering, management, client, business, and stakeholder groups.
- Gold Award for Graduate Attributes with 1,615+ cumulative points.
- Deputy Vice Chairperson, Computer Science Society; led 23 committee members.
- President, Faculty of Computing & Information Systems Student Representative Council.
Publication and links
- Artificial Intelligence-Powered Breast Cancer Prognosis: Optimizing Deep Learning with Image Normalization. DOI: 10.3390/engproc2026128049.
- GitHub: github.com/dennispang626 | Kaggle: kaggle.com/dennispang626.