Short Bio
I'm a Computer Engineering student at RWTH Aachen University and a
Werkstudent Researcher at the Enterprise Information Systems (EIS)
department of Fraunhofer IAIS. My work sits at the intersection of
machine learning systems, agentic workflows, and embedded/edge AI.
- RWTH CE student, focusing on ML systems and signal processing.
- Werkstudent Researcher @ Fraunhofer IAIS (EIS).
- Interested in making ML agents robust enough for real-world use.
RWTH Aachen
Fraunhofer IAIS
ML Systems
Research & Interests
I like approaching ML problems with a signal-theoretic mindset:
treating logits, activations and time series as signals that can be
analysed, regularized and clustered.
My first preprint, “Wavelet-Based Feature Extraction and
Unsupervised Clustering for Parity Detection: A Feature Engineering
Perspective”, explores how wavelet features and clustering
can recover symbolic structure (odd vs. even) from purely numerical
signals.
Current interests include:
- Signal-theoretic metrics for LLM logit stability.
- Wavelet-based feature extraction for structured signals.
- Agentic systems and evaluation, especially agent-in-the-loop setups.
- Edge and embedded ML deployments.
Talks
DataTalks.Club webinar (Dec 16, 2025)
“From Human-in-the-Loop to Agent-in-the-Loop: How ML Workflows
Evolve into Agentic Feedback Systems”
A practical overview of how human feedback loops in ML pipelines turn
into agent-in-the-loop systems: what changes in planning, tool use,
evaluation, and how to keep systems debuggable as automation increases.
Personal
Outside of research and coursework, I enjoy working with electronics,
microcontrollers and embedded systems—often building small tools
that support my ML experiments. I also like documenting projects in
public through blog posts and talks.
I'm especially motivated by projects where algorithms meet hardware
and where “nice-in-theory” ideas have to survive noisy,
real-world inputs.