Hussein A.

Senior Machine Learning Research Engineer @ Nokia

About

Senior Machine Learning Research Engineer | AI/ML Systems | 40+ Filed Patents | MSc Machine Learning I design and build high-performance, production-grade machine learning systems that drive innovation in complex, real-world environments. My expertise lies in developing end-to-end ML pipelines, from concept and simulation to deployment and standardization, focusing on scalability, reliability, and maintainability. I’ve led the development of robust simulation frameworks using Python and C++, enabling rapid prototyping and evaluation of advanced ML models. I’ve engineered high-speed, low-latency interfaces, reduced latency by 4x, and built reusable, modular systems with automated code generation and unified APIs, cutting development time and reducing errors. With a strong focus on practical impact, I’ve trained and validated ML models on large-scale synthetic and field data, turning insights into patented solutions across multiple domains. I thrive at the intersection of research and engineering, translating ideas into deployable systems, optimizing performance, and delivering results that inform standards and product roadmaps.

Country

City

Finland

Industry

Information Technology & Services

Skill

Machine Learning, Python, C++, Mathematics, Deep Learning, Data Science, Datasets, Debugging, Probability Theory, Applied Research, Software Implementation, Publishing, Computer Science, Research Skills, Interpersonal Skills, Computer Vision, Artificial Intelligence (AI), C (Programming Language), Android Development, Statistical Data Analysis

Experience

Senior Machine Learning Research Engineer

Nokia

2022-10 - Present · 4 yrs

Spearheaded end-to-end development of ML use-cases in 5G/6G wireless network optimization. Led concept ideation, simulation evaluation, model training, and patent drafting, resulting in 40+ filed patents. Pioneered the integration of ML use-cases into 3GPP standardization processes through rigorous simulation-based validation and cross-functional collaboration with legal, R&D, and standards delegates. Authored concept documents, contributed to TDocs, and participated in RAN2 meetings, shaping the technical direction of AI/ML in next generation wireless networks.

Machine Learning Engineer

Nokia

2021-7 - 2022-10 · 1 yr 4 mos

Led end-to-end development and deployment of machine learning systems in real-world 5G communication networks to enhance link adaptation and scheduling algorithms, achieving 12% improvement in throughput validated through rigorous performance testing and field deployment. Led feasibility studies and algorithm selection for next-generation network intelligence, applying data-driven research and exploratory analysis to identify high-impact model approaches. Applied advanced deep learning techniques and model optimization principles to ensure scalability and low-latency inference in constrained network environments.

Machine Learning Thesis Worker

Nokia Bell Labs

2020-10 - 2021-6 · 9 mos

Significantly outperforming state-of-the-art 5G link adaptation algorithms by replacing the process with online machine learning models and producing two relevant patents and a master thesis publication.

Machine Learning Intern

Nokia Bell Labs

2020-5 - 2020-9 · 5 mos

Improving the convergence speed, error metrics, and resource consumption of cutting-edge 5G URLLC link adaptation algorithms with novel machine learning methods using deep neural networks and reinforcement learning.

Computer Vision Teaching Assistant

Tampere University

2020-1 - 2020-3 · 3 mos

Object detection and classification. Stereo vision. Structure from motion. 3D scene construction. Optical flow. Keypoint tracking

Data Scientist

PIRKANMAAN JÄTEHUOLTO — DEMOLA

2019-9 - 2019-11 · 3 mos

Tampere Area, Finland

An innovation challenge in which we designed a solution to utilize the large amount of data generated by waste trucks to optimize the garbage collection process and render it more efficient and echo-friendly.