Andre Mayers

Developed and maintained data engineering and analytics software systems, including ETL workflows and data visualization dashboards. Built a data collection GUI and deployed containerized applications.

Designed and deployed a dynamic, AI-ready data engineering system, replacing outdated Visual Basic pipelines with a modular Python-based system. Led a team and trained staff in ETL design.

Developed an algorithm for accurate person counting using cameras in a Matterport Indoor Mapping system, employing machine learning techniques for regression and pattern recognition.

Implemented a distributed, horizontally-scalable cluster for stock signal extraction using machine learning techniques. Developed a trading backtester and automated processes for trading strategies.

Taught courses in Information Systems, including Advanced Web Design and Big Data Analytics, while managing project-based learning for engineering students.

Formulated KPIs and constructed models to enhance investor engagement. Led the restructuring of IT infrastructures and developed recommendation engines for crypto products.

Developed and deployed machine learning models and full-stack applications, focusing on data analysis and visualization across various industries.

Conducted research on machine learning algorithms for wireless networks, developing models for power control and localization in sensor networks.

Managed data engineering tasks including ETL processes, data migration, and enterprise storage solutions for multinational clients.

Employed novel machine learning algorithms to smooth transmit power transients during adaptive iterations that reduced total transmit power of network. Devised an algorithm for self-localization of blindfolded devices in indoor wireless sensor networks (WSNs) by optimizing interior linear programming for selection of temporary mobile beacons from among WSN devices.