Machine learning engineer & researcher
Veli Ates.
I work on machine learning pipelines and research software: auditing large visual datasets, simulating liver-cell biochemistry, and retrieval systems that cite their sources.
Master’s thesis research at DFKI Robotics Innovation Center, Bremen. Based in Dortmund.
01 — Master’s thesis · DFKI
DiversityLens
Demographic auditing of visual datasets.
A Python pipeline that audited 1.6M+ frames across 10+ benchmark datasets. The paper was accepted at CHIRA 2026.
02 — Independent project
Cell Engine
A multiscale simulation of a liver cell (hepatocyte).
Biochemical processes and an interactive 3D view in a research prototype. Biological validation is incomplete.
03 — Retrieval & evidence
AI Evidence Assistant
Document question answering with retrieval.
Answers cite the source passages they are based on.
04 — ML implementation
Edge AI
A small neural network, trained by hand and exported for C++.
Manual tensor operations for training; the learned weights are exported for a C++ loader.
C++ inference in progress
About
Background
I studied mechatronics engineering (B.Sc., Karabük University) and embedded systems engineering (M.Sc., FH Dortmund). My master’s thesis research was done at DFKI in Bremen.
My work sits between machine learning, scientific questions, and software. In each project I try to keep three things visible: the data behind a result, the assumptions in the model, and the steps needed to reproduce it.
Contact
ML engineering roles and PhD positions
I’m looking for AI/ML engineering roles and PhD positions, and I’m open to research collaborations.
veli58ates@gmail.com