Professional Overview
I'm a backend software engineer with four years at Amazon, building customer-facing APIs and distributed systems across the transportation, tracking, fulfillment and returns platforms. I design event-driven, low-latency architectures and lead technical alignment across multiple partner teams, owning delivery from design through customer enablement. I also build AI agent tooling, including an MCP server for real-time tracking operations and an AI-assisted on-call triage workflow used in production. I've written reusable end-to-end test automation adopted by multiple teams, and I've reviewed over 300 code changes and conducted 37 technical interviews.
Areas of Expertise
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
