Kanstantsin Kartavenka

- Developed algorithms and deployed containerized solution for real-time instrument’s anomalies detection, correction, and digit signal denoising as part of major platform upgrade to key customer, - Conducted fundamental research and developed solutions (or addressed to appropriate team) to improve analytical instrument performance, stability, and reliability, - Developed software solutions for European customers to resolve issues and improve experience

- Developed and deployed architecture for automated data collection and reporting from analytical instruments during manufacturing cycles resulting in significant reduction of production time. The project was successfully adopted within support and sales departments, as well as served as a prototype for in-instrument computing platform, - Analyzed instrument data from multiple semiconductor factories to develop customer required solutions, - Supported teams across business with data analytics

- Developed and validated (FDA, GEQUAS) four analytical methods of different complexity on assessment of human exposure to airborne pollutants. Optimized methods for high throughput as a part of NIH Household Air Pollution Intervention Network (HAPIN) requirements, - Collaborated with national and international institutions on analytical method development