The Walt Disney Company, 2021
to Present
- Lead Application Engineer · retitled from Application Engineering Manager to Present
- Application Engineering Manager to
- Senior Application Engineer to
- Senior Software Engineer · Contract to
- Built and shipped DDSI's AI code reviewer for GitLab (Amazon Bedrock): automated reviews when a merge request opens and on each later commit, meta reviews and insights, and on-demand commands from merge-request comments; thousands of reviews across dozens of onboarded projects.
- Built the reviewer's command framework on Amazon Bedrock (one prompt-construction and orchestration file per slash command, more than a dozen so far) and its home, about, guide, and story pages. Also built its FinOps dashboard (process-run breakdowns, cost attribution) and a Bedrock lab with GitLab and the reviewer on one page.
- Designed the reviewer: language-agnostic through AST parsing across many languages, grounded in a knowledge base with RAG embeddings, and self-improving, as contributor feedback tunes each signal's confidence threshold until it becomes a learned rule; FrugalGPT-style model cascading keeps inference costs down.
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- Built and launched DDSI's multi-tenant hosting platform on AWS, including AWS Cloud Map: any GitLab repo goes live on a Streamlit, Python, Dash (Plotly), or JavaScript runtime, with a growing set of apps already live.
- Led and mentored 5+ people since Dec 2023 as Application Engineering Manager (retitled Lead Application Engineer in 2026) and resolved questions and decisions for other areas of DDSI, directly or through work produced.
- Help pilot generative-AI-assisted development for my area of DDSI, bringing in tools like Cursor, Amazon Q Developer, GitHub Copilot, and Claude to accelerate delivery.
- Build the ad sales and B2B forecasting workbenches for Disney's cable and digital media content, where digital media forecasting is mainly sports.
- Tech lead on a DDSI-built rate card utility for all of Disney Advertising.
- Implemented the design pattern for digital media sports forecasting, then led the AWS Lambda project (Django, custom Python package) that applies it to operationalize another team's entertainment digital forecasting.
- Built analytics applications (Django, React, Snowflake).
- Upskilled partner teams and oversaw GitLab issue tracking and story boards across multiple teams, improving efficiency and teamwork.
- Prioritized core opportunities with external partners and handled the technical challenges of enhancing the product: refined business processes, sustained partnerships, better regular touchpoints.
