Program Leader & AI Enthusiast Builder

I pivot strategic vision into tangible business value by building robust, data-centric products and processes. Driving efficiency and simplification across global operations.

View my work on AI View my work on Robotics

About Manuel Mezo

Manuel Mezo

Program and Operations Leader and AI Enthusiast Builder with 8+ years of experience translating complex operational challenges into high-value product and process solutions for global manufacturers and logistics (Amazon, McKinsey). Proven ability to enhance forecast accuracy, streamline capacity planning, and deliver millions in annual savings by building robust, data-centric tools and coaching high-performing teams.
When I am alone at home I build and program robots leveraging AI.
Bilingual (Spanish/English).

Professional Experience πŸ§‘πŸ»β€πŸ’»

πŸ“„ Download CV in PDF

Feb 2026 – Present

Manager, EU Transportation Forecasting
Amazon (Madrid, Spain)

  • Own the weekly production of end-to-end aligned demand forecasts to optimize transportation and labor capacity planning across all network segments (first, middle, and last mile) for the entire EU, including expansion countries.
  • Drive continuous improvement of the forecast generation process, overseeing simulation and post-processing modules, ML bias correction, overrides, automated health checks, database publication, and accuracy KPI reporting.
  • Lead explainability and business reviews, utilizing bridges for deviation drivers to provide actionable insights during weekly leadership syncs.
  • Co-own a strategic roadmap with the Forecasting Tech team, delivering features and process improvements to achieve a 150 bps inaccuracy (WAPE) reduction in 2026, representing a >$10M/year cost-savings entitlement.
  • Manage a distributed team of 6 Business Intelligence Engineers (BIEs) and Program Managers across EU locations, overseeing professional development for levels up to L6.
Sept 2023 – Feb 2026

Sr Program Manager - Network planning
Amazon (Madrid, Spain)

  • Invented and implemented a long-range (rolling 52 weeks) forecasting methodology for EU truckload demand supporting IBP/S&OP cycles and decision making for $140Mn CapEx in transportation assets.
  • Extended the forecasting horizon for Inventory Inbound flows from 6 to 12 weeks, unlocking improved planning accuracy for 800k labour hours annually across EU.
  • Improved inventory transfers truck fill rate modeling (inaccuracy reduced from 35% to 17%), cutting late truck addition and cancellations rates by approx. 20k trucks saving ca $1.8Mn annually.
  • Identified a logic error in the automated Truck scheduling system causing recurring truck shortages in the baseline schedules, impacting $XXMn extra cost in late truck additions and cancellations.
Aug 2022 – Jul 2023

Operations Consultant
McKinsey & Company (Madrid, Spain)

Consulting for global manufacturers on optimization and capacity planning.

  • Revamped production capacity planning via automated, KPI-oriented models across 6 plants and 13 production lines.
  • Mobilized plant planners, supply chain leadership, and finance leadership to adopt the new production capacity model.
  • Optimized production batch sizes across 9 plants, saving $800k/year.
Oct 2021 – Aug 2022

Sr Program Manager - Ops Excellence
Amazon (Madrid, Spain)

  • Led multi-item order shipping implementation across 10 3PL sites ($10Mn+ savings).
  • Led integration of Amazon and 3PL WMS tools at 30+ EU warehouses, balancing demand allocation to production capacity.
  • Designed inventory quality audit program across 25+ warehouses, reducing defect spikes through analytical deep dives.
Sept 2017 – Sept 2021

3PL Operations Quality - Program Manager
Amazon (Luxembourg)

  • Recovered severe inventory defects crisis (from 120k to <10k DPMO in 8 weeks).
  • Led 4 analysts in delivering scalable BI reporting and KPI structures for 30+ EU 3PL logistic centers.
  • Led study for target setting on contractually-binding quality KPIs for 30+ 3PL warehouses across EU.

Tech Stack πŸ› οΈ

πŸ’» Development & Execution

  • Languages: Python (Advanced), C++, Matlab,SQL (Advanced), JavaScript (Basic)
  • Deployment: Docker, Git/GitHub, CI/CD pipelines

☁️ AI and Cloud (LLMs, APIs & SDKs)

  • Cloud Platforms: AWS (S3, EC2), Google Cloud Platform (GCP)
  • AI & Custom Tools: Lovable, Antigravity, Kiro,Firebase (Studio, Hosting, Auth), LLMs (OpenAI, Gemini, Claude, Grok), OpenRouter
  • Automation and integrations: n8n for workflow automation

πŸ“Š Data Analytics & BI

  • Processing & Modeling: Pandas, NumPy, ETL/ELT (Extract, Transform, Load), Data Modeling
  • Visualization: Tableau, Power BI, AWS QuickSight, Matplotlib, Seaborn
  • Skills: Insights generation, KPI/metric definition, data storytelling

Education πŸŽ“

2017

Master's Thesis Exchange
Delft University of Technology

  • 6-month exchange to elaborate Master's thesis: "Open- and closed-loop Doppler data modelling for spacecraft tracking".
  • Part-time volunteering engineer at Formula Student Team Delft.
2015 – 2017

MSc in Aerospace Engineering
Universidad Carlos III de Madrid

  • Focus on integral aircraft and satellite design, aeronautical and space propulsion, aerospace navigation and control.
  • Exchange program at TU Delft (Netherlands).
2011 – 2016

BSc in Aerospace Engineering
BSc in Mechanical Engineering
Universidad de LeΓ³n

  • Basketball player and referee.

πŸ“„ Download CV in PDF

AI side ventures πŸš€

Medical App

🩺 X-Ray Medical Agent

Autonomous diagnostic agent powered by Computer Vision for real-time medical image analysis.

Try it out!
MonumentScout App

πŸ›οΈ MonumentScout

Location-based discovery app using Geolocation APIs and AI-powered explanations to explore nearby historical monuments.

Try it out!
WMS Prototype

πŸ“¦ WMS Prototype

Mobile-first inventory system leveraging on-device Camera Vision for barcode scanning and real-time cloud synchronization.

Try it out!
FoodStats App

πŸ₯— FoodStats App

AI-powered nutrition tracker using Image Recognition to decompose meal photos into detailed nutritional components.

Try it out!
AI chats project

πŸ€– Multi model free AI Chat

LLM Orchestration interface integrating OpenRouter APIs for cost-effective model comparison and inference.

Try it out!
VisionAI App

πŸ‘οΈ VisionAI

Real-time video analysis powered by Gemini 2.5 Flash. Detects and tracks objects via natural language queries with live bounding boxes.

Try it out!
Voice Booking Agent

πŸŽ™οΈ Voice Booking Agent

AI voice assistant using Web Speech API and LLM orchestration to book and manage your Google Calendar appointments via natural language voice conversation.

Try it out!
Github profile image

πŸ’» My Github profile

Public repository of my ongoing experiments in AI prototyping, web/mobile applications, and AI-assisted software development.

Check it out!
Web CV Project

🌐Web CV

AI-developed interactive portfolio showcasing my professional accomplishments, education, and AI side hustles.

Thanks for watching!

Robotics side ventures πŸ€–

Self-Balancing Robot Simulation

βš–οΈ Self-Balancing Robot (Sim)

ROS2 simulation of a self-balancing robot built in Gazebo. Focuses on sensor modeling, odometry, and control loop tuning.

Check it out!
Self-Balancing Robot Real

πŸ€– Self-Balancing Robot (Real)

Physical deployment of my simulation built on Arduino hardware. Implements PID control, IMU filtering, and motor actuation in the real world.

Check it out!
Wall Follower Robot

🏎️ ROS2 Wall Follower

Autonomous navigation logic using Python and multithreading, parsing LIDAR data to track and successfully follow walls in a simulated environment.

Check it out!
Voice controlled3D Printed AI robotic arm

🦾 3D Printed Robotic Arm

My current WIP project, aiming to create a robotic arm that conducts actions autonomously with input via voice leveraging VLA AI.

🚧 Currently WIP 🚧

Personal Interests πŸ€“

Related photo

Click an interest below to see a related photo!

🌳 Nature & Hiking
πŸš€ Space & Aeronautics
πŸ€– Robotics & AI
πŸ€ Basketball
⛷️ Ski
🀿 Scuba Diving
✈️ Travel