Daryl Wong

Transferred internally to head the security function for Dyson's Connected Cloud department; covering security architecture, GRC, and incident response for the consumer IoT platform behind the MyDyson App.
• Responsible for security architecture, governance, risk management, and incident response across a cloud-native IoT platform serving millions of connected devices on AWS
• Own the automated vulnerability gate that blocks deployments on high/critical findings across all engineering teams, with final authority on disputed results
• Building MCP-integrated agentic tooling to bring business context, design intent, and implementation together at the point of security review

Led engineering delivery for the MLOps platform, working across ML research, product, and business functions to define and execute the platform roadmap.
• Worked directly with B2B sales, product, and UX writers, including direct exposure to UX research sessions and conversations with pilot users to translate business intent into a platform roadmap
• Owned technical vision and roadmap for an MLOps platform on AWS Batch orchestrated through Apache Airflow (MWAA), serving ML engineering teams across image segmentation and anomaly detection
• Received five early-career engineers on rotation from across Dyson's global offices, bringing them into the team's regular delivery cadence

Cross-functional engineer focused on accelerating delivery, improving developer experience, and embedding security practices across the team.
• Served as Security Champion; conducted architecture reviews and triaged SAST/SCA findings to shift security left in the development cycle
• Selected by department leadership to brief the CTO on the Cloud team's operational posture, covering distributed log ingestion, BDD-driven test automation (Cucumber.js), and CI/CD pipeline health
• Led the refactor of an internal integration testing framework in TypeScript, cutting execution time by ~75% with Azure Pipelines integration
• Established artefact tracking for an unstructured dataset of over 2 million image frames
• Conducted over 15 interviews and refreshed onboarding materials, reducing new-hire ramp-up time to 2 weeks

• Developed and maintained microservices and RESTful APIs supporting millions of IoT devices, alongside ETL pipelines for sensor data
• Prototyped an MLOps pipeline on EKS using Kubeflow for proof-of-concept evaluation

Year-long rotation across Cloud, Embedded Systems, and Robotics software teams.
• Co-organised Dyson's inaugural 4-day global software technical conference — 600+ attendees, 20 events, 15 speakers across Singapore and the UK
• Delivered early-stage architecture and database design for a high-traffic (>300 RPS) service
• End-to-end development across embedded and vision systems through to cloud integrations for the MyDyson App