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Cengis Hasan

@cengishasan

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AI/ML Expert | US-Based AI Consultancy | Serving Worldwide Clients

Luxembourg

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Accomplished Research Scientist and Engineer with over 15 years of experience driving innovation in machine learning, optimization, and wireless networks. Adept at translating complex theoretical concepts into practical, high-impact solutions, I specialize in generative AI, reinforcement learning, and multi-agent systems. My diverse background, spanning game theory, deep learning, and optimization, enables me to lead cutting-edge projects from concept through deployment while mentoring teams and shaping strategic research agendas.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Scientist

Current

Huawei Ireland Research Center

Jun 2021 - Present (3 years 11 months)

- Responsible for research and implementation of multi-objective, muli-agent, offline, continual reinforcement learning algorithms for Huawei's Autonomous Driving Network technology aiming to bring L4/L5 autonomy to 5G and beyond emerging mobile networks
- Delivered two Proof of Concept projects
- Participated in intern selection, and mentored interns with assigned project

Python TensorFlow Software Development Reinforcement Learning Machine Learning

Research Fellow

University of Luxembourg

Jul 2019 - Dec 2021 (2 years 5 months)

- Solved (i) the optimal association of base stations to physical machines in the vRAN datacenters, and (ii) the optimal functional split of RAN functions
- Developed a GAN based algorithm for cloud removal in satellite imagery. Coded the GAN architecture in Tensorflow
- Developed a Graph Neural Network based optimization algorithm to solve a fleet scheduling problem