Carlo Schmidt ML & Data Science

About Me

Hi, my name is Carlo and I’m a recent master’s graduate based in Germany. I am passionate about AI, machine learning, and building innovative tech solutions. I have previously developed AI-powered products and applications, with a focus on NLP, data analysis, and real-world impact.

I thrive in interdisciplinary teams, enjoy tackling complex challenges, and am always eager to learn and apply new technologies and frameworks.

My key skills include: Machine Learning, Python, AI Product Development, and Turning Ideas Into Working Software.

Projects

X Fact-Checker (EN / DE)

Web Store Link

AI-powered Chrome extension for real-time credibility analysis of social media content. Filling the void left by the removal of community notes.

Browser-based ML deployment Multilingual NLP RESTfulAPI Design Containerized Backend Services

To combat misinformation after the removal of X / Twitter’s “Community Notes,” my goal was to provide users with an independent, real-time fact-checking tool.
I accomplished this by developing and launching a Chrome extension and its custom backend API.

Engineered custom classifier models (EN/DE) deployed in-browser via ONNX/WASM for scoring the verifiability of tweets, alongside a containerized REST API that serves detailed analysis by retrieving and caching fact-checks.
The resulting tool provides a seamless, two-stage process for users to assess content credibility in real-time, directly addressing a critical gap in the social media ecosystem.

Screenshots showing how the Extension works

Another screenshot showing the verifiability classification

Final screenshot showing the supported languages

Master's Thesis: LLM-based Assistant for Non-Standard In-Flight Emergencies
(In cooperation with Boeing Germany)

LLM Integration RAG Architecture Semantic Search Vector Database Embedding Safety-Critical AI

To improve pilot safety in emergencies without standard procedures, I designed and built an LLM-based assistant that generates clear, actionable instructions from flight manuals.

Developed a RAG architecture using semantic search over indexed manuals to deliver context-aware, real-time guidance to the flight crew.
The system's effectiveness was validated in a study with active Boeing 777 pilots, confirming its ability to improve decision-making in safety-critical situations and earning a Boeing Merit Award.

Haptic feedback for VR-supported surgical training

VR Development Unity Real-Time VR Tracking Low-latency Optimization

Tasked with verifying the training viability of a VR surgical simulator, my goal was to replicate forceful yet millimeter-precise hammer strikes and measure their accuracy against a real-world baseline.

I programmed the virtual environment in Unity and engineered a low-latency tracking system to robustly capture impact locations and user movements.
The system successfully achieved high-fidelity simulation, proving the platform's potential as a realistic training tool for surgeons to practice and refine critical motor skills.

Target grid for VR hammer accuracy testing

Virtual environment for hip replacement simulation

Bachelor Thesis: Pharmacological Modulation of Persistent Up/Down States in the Entorhinal Cortex

Noisy Data Analysis Algorithm Development Neuropharmacological Modeling

To enable the study of pharmacological effects on neuronal activity, I was tasked with analyzing a highly noisy in-vivo dataset from the entorhinal cortex of mice.

I implemented a robust statistical analysis pipeline in MATLAB to process the raw data and trained a model to automatically classify persistent 'Up/Down state' patterns.
The custom pipeline successfully filtered the noise and classified the signals, enabling the first clear statistical validation of the drugs' impact on neuronal activity in the entorhinal cortex.

Visualization of cortical activity in the entorhinal cortex

Implementing the Tailorshop experiment in C#

Dependency Networks Complex Process Modeling Web App Development Unit Testing

I was tasked with modernizing the “Tailorshop” experiment—a classic management simulation for assessing complex problem-solving—by re-engineering it from its legacy format into a functional web application.

I replicated the simulation’s underlying dependency network and core logic in C# and built an interactive web interface to visualize factory operations and allow user input.
The project successfully revived the experiment as a robust and accessible tool, making it available again for use in psychological assessments and management training.

Experience

Thesis Student in Product Development Digital

The Boeing Company

May 2024 – November 2024

https://www.boeing.com/

Independently developed and evaluated an AI-driven decision support tool for aviation

Independently developed and evaluated an AI-driven decision support tool for aviation
Led the end-to-end development of a novel LLM-based assistant for non-standard in-flight emergencies, from concept to evaluation
Worked autonomously within an interdisciplinary research environment, coordinating with domain experts for requirements and feedback
Conducted user testing with professional pilots and iterated on the solution based on real-world input
Recognized for my efforts with a Boeing Merit Award

Student Research Assistant - Predictive Behaviour Analytics

Technical University Chemnitz

February 2022 – March 2024

https://www.tu-chemnitz.de/

Data analysis, ML/AI methodologies, and teaching support

Data analysis: collection, processing and evaluation with ML/AI methodologies, predominantly in Python (scikit-learn; scipy; tensorflow; nltk)
Porting the “Tailorshop” experiment from C to R
Development and creation of teaching materials and implementation of practice-oriented exercises in the field of predictive behaviour analysis
Tutoring courses (100+ students):
- Predictive Behaviour Analytics
- Applied Machine Learning
- Introduction to Coding with Python

Education

Master (M.Sc.) Human Factors

Technical University Chemnitz

10/2021 – 06/2025

Specialized in data-driven research and human-centered AI

Interdisciplinary program with a strong focus on data-driven research, machine learning, and human-centered AI. Specialized in predictive modeling, AI methodologies and data analytics. Coursework and projects emphasized practical experience in Python, statistical analysis, and developing independence through self-directed project work.

Thesis: Development of a Large Language Model-Based Assistant for Non-Standard In-Flight Emergencies

Final grade: 1.7

CS50x – Introduction to Computer Science

HarvardX/EdX. Online Course

12/2020 – 05/2021

Comprehensive introduction to computer science and programming fundamentals

Multi-Month Online Course: CS50x. Gained hands-on experience with algorithms, data structures, and developed a foundation in problem-solving and computational thinking. Applied concepts in practical projects and exercises.

Final project: Planning and programming of “Summarizer” – a browser extension that automatically summarises websites for the user

Bachelor (B.Sc.) Psychology

SRH Hochschule Heidelberg

10/2018 – 08/2021

Focused on cognitive science, research methods, and data analysis

Interdisciplinary studies with a focus on cognitive science, research methods, and data analysis. Developed a strong interest in quantitative research and computational approaches to understanding human behavior, which inspired my transition to Data Science and AI.

Bachelor thesis: Analysis of the pharmacological modulation of persistent up/down-states in the entorhinal cortex – included algorithm development for neural data analysis and statistical modeling in MATLAB.

Final grade: 1.5

A Little More About Me

Some of my other interests and hobbies are:

Bouldering
Finding the best German Maultaschen
Dungeons & Dragons
Gaming
And taking the least efficient path between two points for recreational purposes (aka Hiking)

Interested in working together or have a question for me?

Get in touch

Or connect with me on LinkedIn.

Eager for the next challenge! Eager for the next challenge! Eager for the next challenge! Eager for the next challenge!

Carlo Schmidt ML, Data & Digital Product Development