About
ML Systems Engineer · Research × Production
I'm a Machine Learning Engineer with 10+ years of experience translating ambiguous research problems into production-grade AI systems. I specialize in reinforcement learning, agentic AI, and distributed training architectures.
My work spans designing multi-agent RL platforms for 5G network optimization, leading agentic AI systems that integrate LLM reasoning with Bayesian optimization, and building PyTorch-native libraries adopted across engineering organizations.
I hold a PhD in Automatic Control from KTH Royal Institute of Technology. I've published 25+ peer-reviewed papers, hold 15+ patents, and have been recognized with Key Contributor Awards at Ericsson.
Focus Areas
- Reinforcement learning & multi-objective optimization
- Agentic AI & LLM-integrated architectures
- Distributed training systems & HPC
- Model compression & edge deployment
- Autonomous network operations
Experience
Master Researcher in Machine Learning
Dec 2023 – PresentEricsson AB, Kista, Sweden
- Architected scalable distributed multi-agent multi-objective RL platform for 5G coverage and capacity optimization
- Led design and industrialization of Agentic AI systems integrating RL, Bayesian optimization, and LLM reasoning
- Built PyTorch-native RL library adopted by ~100 engineers and researchers
- Enabled real-time AI deployment on baseband hardware via policy distillation
Senior Researcher in Machine Learning
Jan 2020 – Dec 2023Ericsson AB, Kista, Sweden
- Reduced distributed RL training time by 20x with scalable HPC architectures
- Architected high-throughput distributed RL systems: GPU learners, 100+ CPU actors, multi-node coordination
- Established commercial viability of AI-native link adaptation with spectral efficiency gains
- Delivered measurable performance improvements in production-grade 5G RAN systems
Development Engineer, Planning & Decision-Making
May 2018 – Jan 2020Scania CV AB, Sodertalje, Sweden
- Designed automation algorithms for path tracking and motion planning in autonomous heavy-duty vehicles
- Filed multiple patent applications in connected transport systems
Postdoctoral Researcher
Oct 2015 – Mar 2018Paderborn University, Paderborn, Germany
- Researched control, signal processing, and ML for large-scale networked Cyber-Physical Systems
- Taught graduate course on Control of Mechatronic Systems
- Contributed to DFG grant applications on Cyber-Physical Networking
Education
PhD in Automatic Control
2009 – 2015KTH Royal Institute of Technology, Stockholm, Sweden
Architectures and Performance Analysis of Wireless Control Systems
MSc in Mechatronics Engineering
2007 – 2009Istanbul Technical University, Istanbul, Turkey
BSc in Control Engineering
2004 – 2009Istanbul Technical University, Istanbul, Turkey
BSc in Mechanical Engineering
2003 – 2007Istanbul Technical University, Istanbul, Turkey
1st among 155+ students