Mustafa Yenler

Co-Founder @ Stealth

Country

Germany

City

Berlin

Industry

Information Technology & Services

Skill

Artificial Intelligence (AI), Large Language Models (LLM), Databases, RAG, Web Application Development, Business Strategy, Start-Up, Web Development, Founder, Cloud Application Development, API, Information Retrieval, Natural Language Processing (NLP), Bash, Linux, Data Processing, Data Visualization, Deep Learning, Machine Learning, Amazon Web Services (AWS)

Experience

Co-Founder

Stealth

2026-2 - Present · 8 mos

Metropolregion San Francisco Bay Area

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AI Team Lead

Knowunity

2024-8 - 2025-5 · 10 mos

Product, Engineering & Management

AI Engineer

Knowunity

2024-1 - 2025-5 · 1 yr 5 mos

Berlin, Germany

Backend Engineer focus AI/ML

Knowunity

2023-8 - 2024-1 · 6 mos

Berlin, Germany

Machine Learning Research Assistant

Institute for Enterprise Systems (InES)

2022 - 2023 · 1 yr

Software Engineer & IT-Consultant

PwC Deutschland

2022 - 2022

ML & AI: • Developed a full-stack application to evaluate machine learning models on explainability, bias & fairness, robustness, and security, providing metric-based scores. Improved explainability performance by 250%. • Analyzed and enhanced the functionality of an NLP-based customer service chatbot. Consulting: • Contributed to a consulting team optimizing the data landscape of a major German company. Biggest learning: I realized that slow-moving environments don’t bring out my best work. I thrive in fast-paced settings where innovation and execution take priority, allowing me to drive impact and challenge the status quo.

Software Engineer

invenio

2021 - 2022 · 1 yr

• Developed RESTful backend for integrating ticketing system into enterprise software in Java. • Built the backend for 1/3 of the product portfolio at invenio. (https://www.invenio.net/systems-engineering/en/redmine-connector-for-polarion-alm/)

Education

University of Mannheim

Computer Science (80%) and Business Administration (20%)

Bachelor Thesis: Evaluation of Large Language Models on the task of Entity Matching. Grade: 1.0/1.0 Seminar Paper: Effects of Data Augmentation on State of the Art NLP-Models (BERT) and their performance under Domain Shifts. Grade: 1.3 (equiv. to A) relevant coursework: - CS 307 Algorithms and Data structures - CS 306 Software Project (developed an online Multiplayer Game) - CS 302 Practical Computer Science I (Java) - Operating Systems and Computer Architecture - CS 304 Programming Lab I (Java, Threads, Server-Client) - CS 305 Programming Lab II (more Java, SQL) - CS 308 Software Engineering (Software Design & Development) - and many more...