Alex Maeda
@alexmaeda
I’m a senior software engineer building AI-powered decision-support and workflow systems.
United StatesWhat I'm looking for
I’m a Senior Software Engineer with 9 years of experience building decision-support and workflow systems across ads, healthcare, and logistics. I enjoy shipping AI-powered product experiences end to end—from React/Next.js interfaces to Python/FastAPI backend services, retrieval systems, and production ML integrations, with a practical, team-first mindset.
Most recently at Meta, I launched an AI-powered onboarding experience for Shop Ads advertisers, delivering Llama-based recommendations that increased feature discovery 10x, and I reduced Llama inference latency by 45% through asynchronous processing, caching, and database query optimization. I also built LLM-driven advertiser assistance workflows and production monitoring/evaluation tooling for prompt versioning and response quality. Earlier, at Sofar Ocean and Uber, I delivered voyage planning decision-support (including route optimization and real-time sensor intelligence) and HIPAA-enabled transportation workflows across large healthcare networks, strengthening reliability with CI/CD and observability.
Experience
Work history, roles, and key accomplishments
Launched an AI-powered Shop Ads onboarding experience using React/TypeScript and Python/FastAPI, improving feature discovery 10x with Llama-based recommendations. Reduced Llama inference latency 45% and shipped monitoring/evaluation tooling plus classification/anomaly detection services to improve fraud risk signals and monetization integrity.
Software Engineer
Sofar Ocean
Jan 2022 - Nov 2024 (2 years 10 months)
Built voyage planning product features for Wayfinder by integrating marine weather forecasts and route optimization models using React/TypeScript and Python/FastAPI. Migrated legacy voyage monitoring workflows to a modern React architecture with Jest coverage and processed 1.5M+ daily ocean sensor observations, enabling 4–8% fuel and emissions reductions per voyage.
Delivered HIPAA-enabled ride scheduling and trip monitoring workflows for Uber Health using Next.js, Python, and Django microservices across 3,000+ healthcare organizations. Built REST APIs and coordinator decision-support automation leveraging ML predictions to reduce manual overhead and improve operational visibility, while strengthening CI/CD reliability and observability.
Developed backend services and REST APIs in Node.js and Python for the Uber Eats Restaurant Dashboard, supporting order intake, real-time delivery tracking, and menu management for 300,000+ restaurant partners. Integrated ML-powered recommendations and built merchant analytics/reporting to improve operational decision-making across millions of daily orders.
Built Python modules to integrate Google Classroom with Google Calendar for automated event scheduling within Google’s EdTech platform. Developed responsive Angular user interfaces aligned with Google design language and performance standards.
Education
Degrees, certifications, and relevant coursework
Carnegie Mellon University
Bachelor of Science, Electrical and Computer Engineering
2012 - 2016
Earned a B.S. in Electrical and Computer Engineering from Carnegie Mellon University from 2012 to 2016.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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