Resume

Professional Summary

Machine Learning Research Engineer with experience across ML infrastructure, data engineering, and applied research in audio, imaging, and physical systems. Skilled in building end-to-end ML systems — from data pipelines and catalogs to model evaluation, deployment, and monitoring. Strong focus on domain semantics, scalable workflows, and bridging research with production constraints.

Experience

Machine Learning Research Engineer

HEAD acoustics, Herzogenrath | 2025 - Present

Building data infrastructure to connect siloed systems and enable ML workflows. Developed a data catalog application and data lake architecture. Working with audio embedding models for similarity search and anomaly detection. Evaluating and implementing enterprise solutions including Elasticsearch, data catalogs, ML observability platforms, and agentic frameworks.

Data Scientist

DESY, Hamburg | 2020 - 2025

Developed the SED Python package to process billion-event datastreams to multi-dimensional images.

Software Developer

HörTech, Oldenburg | 2019 - 2021

Created real-time signal processing algorithms for hearing aids and streamlined MATLAB-to-C++ workflows for researchers using openMHA.

Simulation Engineer

OFFIS, Oldenburg | 2019 - 2020

Tested autonomous driving simulators and established interoperability standards between platforms.

Education

M.Sc. in Data Science

RWTH Aachen | 2021 - 2024

Gained expertise in optimization, probability, and statistical theory, with advanced signal and image processing using Fourier and wavelet transforms.
Explored machine learning extensively, including supervised/unsupervised methods, neural networks, and statistical learning theory.
Thesis: Denoising Methods for Multi-Dimensional Photoemission Spectroscopy (classical and deep learning-based approaches combined with statistical signal analysis) at DESY.

B.Eng. in Engineering Physics

CvO University, Oldenburg | 2016 - 2021

Combined fundamental physics topics such as quantum mechanics, electrodynamics, and solid-state physics with applied knowledge in control systems, signal processing, materials engineering, and electronics.
Participated in a semester-long exchange at the Technical University of Denmark.
Thesis: Towards Ultrafast Dynamic Studies in the Spin-Filter Material EuO with RIXS at FLASH (computational modeling and experimental data analysis) at DESY.

Skills & Expertise

Programming & Tools
Python | C++ | Matlab

Machine Learning & AI
Machine Learning | Deep Learning | Neural Networks | Statistical Learning Theory

Signal & Image Processing
Signal Processing | Image Processing | Fourier Transforms | Wavelet Transforms

Big Data & Infrastructure
Dask | Xarray | Docker | Orchestration | Metaflow

Software Engineering
Software Development | CI/CD | DevOps | GitHub Actions

Professional Skills
Research | Teaching | Collaboration

Contributions

Invited Talk: Deep-Learning based Image Denoising of MPES data
DESY Photon Science Users's Meeting | 2025

Poster: Deep-Learning based Image Denoising of MPES data
DESY Photon Science Users's Meeting | 2025

Master Thesis: Denoising Methods for Multi-Dimensional Photoemission Spectroscopy
RWTH Aachen | 2024

Talk: Deep-Learning based Image Denoising of MPES data
7th Round Table on Deep Learning @DESY | 2024

Poster: Efficient Data Acquisition in Multi‑Dimensional Photoemission Spectroscopy using Denoising
DPG Spring Meeting | 2024

Poster: Efficient Data Acquisition in Multi‑Dimensional Photoemission Spectroscopy using Denoising
NanoMat Science Day | 2024

Bachelor Thesis: Ultrafast dynamic studies in spin-filter material Europium Oxide with Resonant Inelastic X-ray Scattering
CvO University of Oldenburg | 2021

Poster: Towards ultrafast dynamic studies in the spin‑filter material EuO with RIXS at FLASH
DESY Photon Science Users's Meeting | 2020

ZAIN SOHAIL