Hello, I'm
Diogo Catarino
I build
Software Development Engineer II at Amazon in Luxembourg. Passionate about building full-stack platforms, Model Context Protocol (MCP) tooling, and autonomous AI agent swarms that automate complex workflows at scale.
My Journey
A timeline of my academic and professional experience
Amazon, Luxembourg
Building a full-stack Finance Platform to track cost, ROI, and revenue attribution across AI projects at scale.
Developing Project Logos, a conversational AI agent equipped with deep supply chain domain knowledge to answer complex operational and network questions.
Amazon, Luxembourg
Architected a multi-agent workflow using Strands and MCP servers to automate the 'Volume Loss to Caps' bridge across fulfillment operations, saving 109,500 man-hours annually.
Developed a centralized Goal Tracking platform in React and DynamoDB for 130+ users (automating 500+ Director-level targets and reducing alignment latency by 70%), alongside an autonomous WBR narrative agent saving 5+ hours per week for L6 leadership.
The Goodyear Tire & Rubber Company, Luxembourg
Developed an in-house Lateral Force (LDF) data visualization tool using React.js and Redux Toolkit, enhancing data interaction and engineering decision-making.
Engineered the backend API with Python's FastAPI framework, integrating querying capabilities with AWS and Athena for global tire sensor data management.
Conducted statistical analyses, including ANOVA tests, post hoc tests, and Bayesian inference, to validate data integrity and analytical assumptions.
Instituto Superior Técnico, Lisbon
Specialization in Data Science.
Master's Thesis: Recognising Portuguese Stones with Deep Learning (PyTorch computer vision models classifying Portuguese ornamental stone varieties).
Julius-Maximilians-Universität, Würzburg
Graduate coursework in Computer Science and Data Science. Developed advanced Jupyter and statistical modeling workflows.
Instituto Superior Técnico, Lisbon
Development of the official event web platform.
Iscte - Instituto Universitário de Lisboa
Comprehensive foundation in computer science fundamentals, algorithms, and distributed systems.
Featured Projects
A selection of projects that showcase my expertise in full-stack development, AI agent swarms, and open-source tooling
Conversational AI agent at Amazon engineered with deep domain knowledge of the supply chain network, enabling natural-language investigation of operational metrics, fulfillment flows, and domain insights.
Full-stack financial tracking platform at Amazon designed to monitor infrastructure cost, resource utilization, and revenue/savings attribution across internal AI initiatives.
Architected an autonomous multi-agent workflow at Amazon using Strands and MCP servers to automate the 'Volume Loss to Caps' bridge across fulfillment operations, eliminating manual spreadsheet reconciliation at scale.
Map-first web application charting over 100,000 documented shipwrecks and underwater obstructions worldwide. Features an interactive sonar map viewport, depth/era filters, vessel tracking, and a public OpenAPI 3.1 REST API.
Safety-scoped Model Context Protocol (MCP) server exposing Discord Bot REST API operations as permission-bounded tools for AI assistants like Claude and Cursor, with explicit channel allowlists and rate-limit protection.
Centralized Goal Tracking platform at Amazon for 130+ users automating 500+ Director-level targets, paired with a Strands + MCP agent that drafts weekly WBR narrative bridges and daily on-call briefings.
Full-stack data visualization and statistical workbench at Goodyear for Lateral Force (LDF) tire performance analysis, integrating interactive charts, ANOVA, post-hoc tests, and Bayesian inference over AWS Athena.
Master's thesis research at Instituto Superior Técnico applying deep learning computer vision architectures in PyTorch to classify Portuguese ornamental stones (marble, limestone, granite) from surface imagery.
Skills & Languages
Technologies I work with and languages I speak
Technical Skills
Languages
Frontend
Backend & APIs
Cloud & Infrastructure
AI & Data
Tools