About Me

Hi, my name’s Carlo and I’m a recent master’s graduate based in Germany. I am passionate about AI, machine learning, and building innovative tech solutions. My experience spans developing 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

In a time when misinformation and manipulation are increasingly widespread on social media, providing users with reliable credibility checks is more important than ever. Therefore I developed a Chrome Extension that integrates with Twitter to assess a post’s credibility and provide verifiable references.

In-browser ONNX/WASM ML model predicts a post’s “Verifiability Score” (English or German), highlighting posts likely to be checkable.
Python Flask Backend Server performs fact-checking on demand via structured output using Google Gemini API and live search.
Full-stack: Data generation, cleaning and processing, model training and export, frontend extension, RESTful backend API, dockerized deployment on production server.

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 a leading aerospace company)

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

Development and testing of a dynamic decision support system to assist pilots in unforeseen emergency situations by generating context-adaptive instructions from flight manuals.

Document processing: Implementation of efficient indexing and semantic search in flight manuals
Assistance system: Development of an LLM-based agent using a RAG architecture
Evaluation: Planning and conducting an evaluation study with Boeing 777 pilots
Merit Award: Received a Boeing Merit Award for outstanding achievements

Haptic feedback for VR-supported surgical training

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

EU project to develop a VR system that realistically simulates hip replacement surgery for training purposes. Specifically, forceful but millimeter-accurate hits with a hammer are needed. The goal was to verify the realistically achievable accuracy in VR and compare it to a real-world baseline.

Unity Programming: Implementing the virtual environment and processes in Unity
Tracking integration: Development of a robust tracking system to accurately capture hammer movements and hit points

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

Investigation of how dopamine and acetylcholinesterase inhibitors influence the phenomenon of persistent neuronal activity in the entorhinal cortex of mice.

Up/Down State Classification: Development of an algorithm for the automated detection of persistent irregular neuronal activity
Data Preparation & Statistics: Implementation of a robust statistical analysis pipeline in MATLAB for the evaluation of noisy in vivo data

Visualization of cortical activity in the entorhinal cortex

Implementing the Tailorshop experiment in C#

Dependency Networks Complex Process Modeling Web App Development Unit Testing

The Tailorshop experiment is a management simulation used to assess the complex problem-solving capabilities of participants.
It simulates a textile factory where participants must manage resources, production, and interdependencies between various variables.
My tasks were:

Replication of the underlying dependency network and processes of the simulation in C#
Implementation of a web application to visualize the simulation and allow participants to interact with it

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

Technische Universität 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, 09111 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/Cambridge, Massachusetts, United States

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, 69123 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 Data Science, Machine Learning & Product Development