Efimia Panagiotaki
Senior Machine Learning Engineer
United Kingdom
Professional Overview
Efimia Panagiotaki is a highly skilled Senior Machine Learning Engineer with extensive experience in the field of autonomous vehicles and robotics. She possesses a strong technical background coupled with a passion for driving innovation and tackling complex challenges. As a Senior Machine Learning Engineer at Oxa and a DPhil Candidate at the Oxford Robotics Institute, Efimia leverages her expertise to develop cutting-edge machine learning solutions that push the boundaries of what is possible in the realm of self-driving technology.
Experience Summary
Current Role
As a Senior Machine Learning Engineer at Oxa, Efimia is responsible for leading the development of advanced machine learning algorithms and models that power the company's autonomous driving systems. In this role, she collaborates closely with cross-functional teams to design, implement, and optimize performance-critical components, ensuring the seamless integration of cutting-edge machine learning capabilities. Efimia's contributions have been instrumental in advancing Oxa's market position and delivering tangible benefits to its clients.
Concurrently, Efimia is pursuing a DPhil degree at the Oxford Robotics Institute, where she is conducting groundbreaking research in the field of machine learning for autonomous systems. Her work at the institute focuses on developing innovative techniques for real-time perception, decision-making, and control in dynamic environments, with the goal of enhancing the safety and reliability of autonomous vehicles.
Career Progression
Prior to her current roles, Efimia held several notable positions in the autonomous vehicle and motorsports industries. As the Lead Self-Driving Software Engineer at StreetDrone, she was instrumental in the development and deployment of their autonomous driving solutions, leading cross-functional teams and driving significant improvements in system performance and reliability. Efimia also served as a Software Engineer at StreetDrone, where she made valuable contributions to the company's software architecture and codebase.
Earlier in her career, Efimia held positions at Williams Martini Racing as a Data Processing Engineer, and at Akademischer Motorsportverein Zürich (AMZ) as a Driverless Software Engineer. During these roles, she demonstrated her ability to thrive in fast-paced, high-pressure environments, delivering innovative solutions and driving measurable improvements in processes and systems.
Academic Background
Efimia holds a DPhil degree from the Oxford Robotics Institute, where she is currently pursuing advanced research in machine learning for autonomous systems. Her academic credentials, combined with her practical industry experience, have equipped her with a unique blend of theoretical knowledge and hands-on expertise.
Areas of Expertise
- Advanced machine learning algorithms and models
- Autonomous vehicle perception, decision-making, and control
- Real-time embedded systems and software engineering
- Robotics and control systems
- Data processing and optimization
- Cross-functional team leadership and collaboration
Professional Impact
Throughout her career, Efimia has made significant contributions to the advancement of autonomous vehicle technology. Her work at Oxa has led to tangible improvements in the performance and reliability of their self-driving systems, resulting in increased customer satisfaction and market share. At the Oxford Robotics Institute, her research has pushed the boundaries of what is possible in the realm of machine learning for autonomous systems, with the potential to shape the future of mobility.
Efimia's technical expertise, innovative mindset, and strong leadership skills have been recognized by her peers, leading to her appointment as the Lead Technical Steering Committee member for Project Aslan, a collaborative initiative focused on developing next-generation autonomous solutions.
Conclusion
Efimia Panagiotaki is a remarkable Senior Machine Learning Engineer with a proven track record of delivering innovative and impactful solutions in the autonomous vehicle and robotics industries. Her combination of technical expertise, industry experience, and academic excellence positions her as a valuable asset in driving the future of mobility and autonomous systems. Efimia's commitment to excellence and her passion for problem-solving make her a sought-after professional in the field.
