Experience

Key Impact

• Handpicked alongside two engineers to form a dedicated AI Team reporting directly to the Engineering Manager, following a company-wide mandate to accelerate AI adoption. Leading the design and implementation of autonomous agent pipelines using frameworks such as n8n and Temporal to automate ticket creation and refinement through to agentic task execution with human-in-the-loop review. Currently overseeing budgeting and AWS infrastructure for the team's agent deployment
• Led a cross-team overhaul of the user health scoring system within one month: replaced an opaque AI black-box with a transparent, rules-based scoring engine using auditable checks and factual data, giving companies full control over risk assessment
• Introduced engineering process structure where none existed: defined DoD and DoR, created standardised templates for Spikes, User Stories, and Technical Stories in ClickUp, driving adoption across the dev team and significantly improving ticket visibility and delivery predictability
• Architected and shipped a custom Slack PR bot adopted company-wide across 40+ repositories, replacing the official GitHub plugin and accelerating PR review cycles significantly
• Built and published an internal NPM package for AWS CloudWatch integration, enabling plug-and-play structured logging across backend services
• Worked with AWS event-driven infrastructure (SQS, SNS, Lambda) to queue and trigger requests across a high-traffic platform, maintaining and extending existing features to ensure reliable message flow at scale
• Developed and refactored the GraphQL service layer; new resolvers, query optimisation, and improved schema readability

Technologies

Key Impact

• Direct cooperation with the clients listed below

Technologies