Santiago Garcia Sapeta

Experience

1. Apr 2026 — present

   Founder & CTO at MantAI, Inc.

   • Founded MantAI, a vehicle-safety intelligence company: our sensors listen to the sound and vibration of a vehicle in real time, detect reckless driving patterns, and predict mechanical faults up to weeks before they happen.
   • Designed and engineered custom IoT hardware prototypes — MEMS microphones and data-logging modules — for field audio capture on real fleets.
   • Architected and trained CNN-based audio classification models using transfer learning on AudioSet-pretrained transformers (AST), fine-tuned on labeled vehicle-fault sound datasets.
   • Built the full-stack real-time dashboard for diagnostic data, fault alerts and vehicle-health metrics, integrating hardware telemetry with a web interface.
   • Lead every technical decision across hardware, ML pipeline and software — from PCB prototyping to cloud deployment.
   Machine LearningCNNsIoT HardwareSignal ProcessingPyTorchReactPythonPCB Prototyping
2. Sep 2025 — Apr 2026

   Full-Stack Software Engineer at LoadUp GmbH

   • Led development of key internal and customer-facing platforms, including Fahrernetz and core LoadUp logistics systems, at an AI-driven logistics company in Berlin.
   • Built and maintained full-stack features across the platform, ensuring scalability, performance and clean architecture.
   • Designed responsive, user-centric interfaces tailored to complex logistics workflows.
   • Developed and integrated APIs supporting real-time data flow across logistics, driver management and operational tools.
   Next.jsTypeScriptReactNode.jsPostgreSQLREST APIs
3. Aug 2025 — Sep 2025

   RMachine Learning Engineer at Raumdeuter

   • Owned ML models end-to-end — from feature engineering to training, evaluation, and production deployment.
   • Built leakage-safe, group-aware validation with cost-sensitive metrics (PR-AUC, per-class recall) over headline accuracy.
   • Shipped drift monitoring with automated retraining to keep models reliable in production.
   Machine LearningPythonMLOpsModel Validation
4. May 2025 — Aug 2025

   Lead Engineer — Full-Stack Developer (Contract) at Zero Waste Consulting

   • Designed and developed the frontend of an AI-powered ESG emissions platform for enterprise clients, supporting GHG Protocol-compliant Scope 1, 2 and 3 reporting.
   • Implemented dynamic forms and dashboards to visualize emissions data, track progress and generate modular reports.
   • Contributed to AI-powered features for parsing unstructured documents — invoices, CSVs — helping users validate emissions inputs with minimal effort.
   • Collaborated with product managers, climate experts and backend teams to turn regulatory requirements into effective UI.
   ReactTypeScriptNode.jsAI IntegrationData Viz
5. Apr 2025 — May 2025

   Software Engineering Intern at myCard

   • Built a carbon-emissions calculator for Zero Waste Consulting's Envista platform.
   • Collaborated with a cross-functional team on a scalable solution for tracking and reducing environmental impact — full-stack development, data modeling and sustainability-focused tech.
   ReactNode.jsFull-StackData Modeling

Projects

MANTAIAI / MLHARDWARE & WEB

MantAI

FounderHardwareMachine Learning

Website

Real-time vehicle-safety intelligence. Installing our sensors detects reckless driving and driving patterns — and using only the sound and vibrations of the vehicle, our ML models detect and predict mechanical issues before they happen, up to weeks in advance.

Machine LearningCNNsIoT SensorsReactPythonSignal ProcessingMEMS MicrophonesAST Transformers

Education

1. 2026 — present

   Computer Science & Electrical Engineering Stanford University

   Stanford University's International Honors Program with a focus on Computer Science, Electrical Engineering and Machine Learning. Core modules: Machine Learning, Deep Learning & Neural Networks, Systems Engineering, Digital Hardware Design, Embedded Systems, Signal Processing, Advanced Algorithms.

   View transcript ↗
   Computer ScienceElectrical EngineeringMachine LearningHardwareResearch
2. Aug 2024 — present

   B.Sc. Software Engineering CODE University of Applied Sciences, Berlin

   Startup-focused university emphasizing project-based learning and practical software development. Core modules: Software Development, Artificial Intelligence, Machine Learning, Essential Mathematical Methods, Algorithms and Data Structures.

   Software EngineeringArtificial IntelligenceAlgorithmsProject-Based LearningTeamwork
3. Jun 2022 — Jun 2024

   PKFull-Stack Mentorship with IT coach Piotr Kania

   Two-year intensive 1:1 coaching: built multiple real-world applications and mastered both frontend and backend technologies, completed with a Full-Stack Developer certification.

   Full-StackJavaScriptReactNode.jsDatabases

Certifications

Areas of Focus

• Vehicle Safety Intelligence
• Machine Learning
• Acoustic & Vibration Analysis
• Hardware Development
• Electrical Engineering
• IoT Sensors
• Full-Stack Development
• Signal Processing
• Product Design
• Founding & Building

About Me

Building machines that listen

On founding MantAI, studying at Stanford, and turning sound into safety.

By Santiago Garcia Sapeta · Stanford, CA — Berlin, DE · 2 min read

I'm the Founder and CTO of MantAI, a vehicle-safety intelligence company using acoustic and vibration analysis to understand what is happening inside vehicles in real time. MantAI is backed by superangels — we raised our first round with Prof. Dr. Roland Fassauer as our mentor and investor.

I study Computer Science and Electrical Engineering at Stanford University and Computer Science at CODE University of Applied Sciences in Berlin. My work combines machine learning, electrical engineering and hardware development — drones, custom sensors and intelligent systems built for real-world applications.

“I'm passionate about turning complex technical ideas into products that can transform entire industries.”

A vehicle tells you what is wrong with it long before it fails — you just have to listen. That belief is what MantAI is built on: sensors on real fleets, models trained on the sound and vibration of real machines, and predictions that arrive weeks before the breakdown does.

What People Say.

The Mark

Ask an AI

Don't take my word for it. This site publishes everything about me as plain text at /llms.txt — hand that to any assistant and ask. The answer comes from my own content, not from whatever a model happens to remember about someone named Santiago Garcia.

Get in Touch.

Find Me On

• emailBest way to reach me directly.santiago@mantai.io
• linkedinWork history, MantAI updates, and professional news./in/santiago-garcía-sapeta
• githubML research, hardware experiments, and code.github.com/Sentino2
• x / twitterBuilding MantAI in public.@GarciaSapeta