• Developing and improving internal tools & libraries supporting Unlearn's AI/ML platform

• Developed an ML model for detecting SDK risk, protecting 3 billion Android users from malicious 3rd party code

• Performed data science, analysis and feature engineering for assessment of hundreds of terabytes of raw data

• Transformed ad-hoc processes into 100 times faster ETL pipeline, with extensive tests, monitoring and reporting

• Automated risk assessment resulting in estimated cost savings of $57 million

• Mentored junior software engineers

• Designed and built data collection software and hardware for a precision vapor dosing device

• Created ML models 10 times more accurate than state-of-the-art

• Built and presented machine learning tools, models and visualizations for several IoT startup clients

• Designed and implemented a real-time analysis back end supporting 3 different EEG peripherals.

• Designed and led development of several neurofeedback games for Android, iOS and desktop.

• Coached and supervised junior developers.

• Designed and implemented a DevOps/continuous integration system for a messaging platform tracking planes, luggage and passengers at Amsterdam Airport.

• Executed a migration to a new Enterprise Service Bus for electric power brokerage EDSN, and designed and built a test system to validate high-impact, business critical processes.