About

Hafizuddin Jaafar

AI and cloud solution architect with four years of production experience building fraud detection systems, forecasting engines, and automation pipelines at AstraZeneca and the Central Bank of Malaysia. Now driving Copilot and agentic AI adoption at Microsoft, while completing an MSc in Business Analytics at Imperial College London.

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Hafiz in baju melayu under cherry blossoms in London on Hari Raya

4 yrs

industry experience

157

automation projects delivered

12k+ hrs

saved annually

492

employees upskilled

Career

Experience

Aug 2026 - Present

Cloud Solution Architect, AI Business Solutions

Microsoft · Asia Pacific

  • Architecting and driving customer adoption of Copilot, Microsoft 365 Agents, and Microsoft Foundry across Asia Pacific — leading architecture design sessions, building technical readiness, and connecting AI investments to measurable business outcomes
Copilot Microsoft 365 Agents Microsoft Foundry Copilot Studio Azure AI

Nov 2022 - Sep 2025

Senior Solution Architect

AstraZeneca · Kuala Lumpur, Malaysia

  • Led a cross-regional team supporting 157 automation projects across Malaysia's first nationwide digital transformation. Along the way we upskilled 492 employees and delivered 12,000+ hours of savings annually
  • Built an end-to-end multi-market cashflow forecasting system spanning multiple payment types, integrating SAP, BlackLine, and Quantum into a single consolidated Power BI dashboard piloted across 8 markets. Cut planning-cycle time by 60% and reconciliation effort by 3,200+ hours a year
  • Built a Power BI and DAX-heavy CAPEX consolidation dashboard with automated ETL pipelines, surfacing missing or inaccurate asset records ahead of the annual asset review across 15,000+ IT assets
  • Led Power Platform budget adjustment application for FP&A, reducing budgeting rework by 60% and releasing 5,000+ annual hours
SAP Power BI DAX Power Automate Python

Sep 2021 - Nov 2022

Digital Graduate Analyst, Innovation Lab & Risk Management

Central Bank of Malaysia (BNM) · Kuala Lumpur, Malaysia

  • Built asset vulnerability tracking using Python web scraping + Neo4j graph database for dependency mapping, improving SLA adherence by 30%
  • Consolidated 52 disparate departmental datasets into a centralised Power BI risk intelligence platform, eliminating 5,000 hours of manual reporting annually
  • Built multi-source social media analytics platform integrating LinkedIn, Facebook, Instagram, and Twitter APIs with NLP sentiment analysis and automated controversy flagging
Python Neo4j NLP Power BI REST APIs MySQL

Jun 2020 - Jun 2021

VP of Technology

Xavier Optics · Los Angeles, US

  • Built the market intelligence and business case for a novel AR/VR optical element, securing $225,000 in Phase 1 SBIR government funding
Education

Academic background

Sep 2025 - Aug 2026

MSc Business Analytics

Imperial College Business School · London, UK

Modules: Advanced Machine Learning, Network Analytics, Financial Analytics, Causal Modelling.
Yayasan Tun Ismail Excellence Award, given to 3 recipients nationally.

Sep 2017 - Jun 2021

BSc Electrical Engineering (Cum Laude, GPA 3.8)

University of California, Los Angeles (UCLA) · Los Angeles, US

Dean's Honors List (multiple quarters).
Yayasan Khazanah Global Scholarship recipient.

Recognition

Key achievements

2023 - 2024

Finance Excellence Award, AstraZeneca. Built a Python forecasting engine that reconciles SAP data into real-time cash flow intelligence, cutting 3,200+ hours of manual reconciliation a year.

2023 - 2024

Finance Process Champion, AstraZeneca. Built a CAPEX consolidation dashboard tracking 15,000+ IT assets, with fraud-detection ML built in, cutting 1,500+ auditing hours a year.