AI systems.Full-stack products.Thoughtful design.

I implemented targeted vector search for internal documents and tickets with LangChain and Supabase. That reduced manual lookups and helped operations respond faster. I added summarization, automatic tagging, and validation so people could focus on edge cases.

I introduced HTTP and Redis caching, rate limits, and prompt and response budget controls to manage performance and API costs. I tuned model selection, prompt depth, token limits, and fallback policies as part of that same work.

I standardized structured logs, metrics, tracing, SLO dashboards, and alerts across Next.js and FastAPI services. I built GitHub Actions pipelines with tests, type checks, and preview deployments, and used feature flags, blue/green deployments, and canary releases.

I designed versioned REST and GraphQL APIs, and PostgreSQL schemas with migrations and query optimizations. I worked with Product on A/B experiments involving latency, conversion, and accuracy.

I created reusable components, Storybook patterns, lint rules, type standards, and onboarding documentation, and I integrated accessibility checks and design tokens. I collaborated with Design, Operations, and Compliance, wrote runbooks and postmortems, and applied least-privilege IAM, secret rotation, PII redaction, and retention policies for AI artifacts.

I built React and Node.js subscription and user-management features, including signup, billing status, roles, permissions, and account recovery. I designed REST APIs in Node.js with Express and in Python with FastAPI, and integrated AWS SQS, SNS, EC2, Secrets Manager, and CloudWatch.

I built reusable React and TypeScript components using TDD, Jest, and React Testing Library. Profiling, caching, and query and index optimization improved core endpoint response times by approximately 30%.

I established GitHub Actions and Jenkins pipelines with automated tests, linting, type checks, and preview deployments. I implemented structured logging, monitoring dashboards, and alerts, used Zod and celebrate for validation, and maintained IAM, secrets, and dependencies. I mentored junior developers and contributed to planning, retrospectives, and onboarding documentation.

I worked on site in Melbourne from October 2018 through October 2020, on the product the team was building and shipping. My part was feature work and defect fixes: taking a scoped change through implementation, review, and release with the engineers beside me.

This was the software engineer role that led into the senior title on the same team. I stayed with that product, so the context was the system as it stood then: application code, the defects that showed up as it shipped, and the reviews that kept a release from going out unfinished.

I joined Amazon full time in Orlando in December 2014, after the Carrollton internship, and stayed through September 2018. The role was hybrid. I wrote TypeScript and Python.

Across those four years the work was product development: features, fixes, and the reviews that went with them. TypeScript was how I wrote application code. Python was how I wrote scripts and service-side tasks. I shipped those changes with the team.

I supported feature development, bug fixes, and releases under senior-engineer guidance. I built responsive interfaces with HTML5, CSS3, JavaScript, and Bootstrap, and I optimized assets, media loading, and bundle sizes. I implemented forms, REST integrations, and client-side validation, and wrote small Node.js/Express and Python scripts for internal tasks.

I reproduced production issues, documented what I found, and contributed fixes through code review. I tested across browsers and devices, including basic accessibility, and I worked with Git branches, pull requests, documentation, and incremental refactoring of jQuery and PHP interfaces.