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Leadership Team

Academic Excellence

Industry Experience

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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

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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

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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

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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

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