Evaluating I-JEPA for Robust Wildlife Classification Under Distribution Shifts on the WILDS Benchmark
This work explores I-JEPA's capability to generalize to a distribution shift using the iWildCam2020-WILDS benchmark.

Currently pursuing my Master's degree in Information Systems, my research focuses on Self-Supervised Latent Representations for Robust Generalization in Unconstrained Environments. I am actively seeking a Research Engineer position or PhD position.
Alongside this, I work as a Working Student Full Stack Engineer at Mercedes-Benz Tech Innovation and previously gained international experience as a Machine Learning Engineer at CoPilot Innovations in Chicago.
Outside of software and AI, I am active as a volunteer basketball coach and enjoy surfing.
This work explores I-JEPA's capability to generalize to a distribution shift using the iWildCam2020-WILDS benchmark.
Reutlingen University - Master Thesis (Feb 2026 - Sep 2026)
Mercedes-Benz Tech Innovation - Full Stack Engineer (Oct 2025 - Jun 2026)
Almato AG - Bachelor Thesis (Sep 2024 - Dec 2024)
Almato AG - Application Engineer (Mar 2024 - Aug 2024)
CoPilot Innovations - Machine Learning Engineer (Sep 2023 - Feb 2024), Chicago
Almato AG - Software Engineer (Sep 2022 - Jul 2023)
Isolde-Kurz-Gymnasium - System Administration (Nov 2021 - Aug 2022)
Reutlingen University - Master of Science, Wirtschaftsinformatik (Mar 2025 - Jul 2026)
Hochschule für Technik Stuttgart - Bachelor of Science, Wirtschaftsinformatik (Sep 2021 - Feb 2025)
Johannes Kepler Gymnasium - High School Diploma (Sep 2012 - Jul 2020)
Python, PyTorch, Tensorflow, Keras, NumPy, Pandas, Matplotlib, Rust, Golang, Java, C#, JavaScript, SQL, PostgreSQL, MySQL, MongoDB, GraphQL, Docker, Linux, Slurm, AWS, Google Cloud, Next.js
Languages: French (native/bilingual), English (professional), German (native/bilingual)
Plan G Incubator Programm
Application Security
Tensorflow Developer Certificate
Novatec-Förderpreis
Email: yann @ yann - ahlgrim.com
Phone: + 49 157 72889351
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Location: Reutlingen, Germany