Leadership Team
Academic Excellence
Industry Experience
Head of Hardware
Dr. George
Dr. George is an expert in integrated circuits and embedded systems, with deep industry experience in Mixed Signal / RF chip design and biomedical sensing technology. Formerly a senior RF engineer at a leading U.S. telecommunications company and founder of a biosensor startup, he has published over 15 academic papers with 500+ citations. His cross-disciplinary insights power our cutting-edge solutions in hardware prototyping, PCB design, and sensor integration.
Expertise
IC design, sensor technology, PCB prototyping, wireless communication
Head of Analysts
Rachel
Rachel is a data analytics manager at a leading fintech and real estate intelligence company. She has years of experience in transforming complex market data into actionable insights and has led cross-functional projects in property analytics, financial modeling, and product-level data strategy. At Clockles, she leads student training and client solutions in applied analytics and portfolio data projects.
Expertise
Data analysis, real estate & financial datasets, dashboard creation, Python & SQL, applied business intelligence, market modeling, applied economics
Head of Embedded AI & Signal Processing
Dr. Cyrus
Dr. Cyrus has extensive experience in the design, deployment, and optimization of Embedded Systems, Signal Processing and AI solutions, and excels at transforming real-world business problems into scalable, deployable embedded and software systems. He has progressed from a Ph.D. background to core embedded systems roles, and is highly familiar with hiring logic, technical expectations, and career growth paths at technology companies.
Expertise
Embedded Systems, FPGA, Machine Learning, AI, Signal Processing
Head of Software & AI Projects
Dr. Robert
Dr. Robert is a senior leader in data science and AI systems at a globally recognized technology company. With extensive experience designing and deploying large-scale intelligent solutions, he specializes in turning real-world problems into scalable, data-driven products. At Clockles, he advises and guides software and AI-related projects with a strong emphasis on real-world application, model performance, and system architecture.
Expertise
Machine learning pipelines, full-stack AI integration, natural language processing, scalable cloud systems, software development mentorship