Role at Tom Sawyer Software
Sofia Savvaki joined Tom Sawyer Software in 2017 and has held technical leadership roles since 2019. She currently serves as technical lead for views in Tom Sawyer Perspectives and for Tom Sawyer Business Process. Combining hands-on front-end and back-end engineering with team leadership and cross-functional collaboration, she helps guide complex product features from design through release. Her contributions span modern web technologies, core product functionality, and continuous improvements in performance, usability, and software quality.
Working Background
Before joining Tom Sawyer Software, Sofia worked as a Research Assistant at the Signal Processing Laboratory of the Foundation for Research and Technology – Hellas (FORTH). Her work explored how machine learning and statistical signal processing techniques can recover missing information from sensor data, with applications in human activity recognition, environmental sensing, and wireless sensor networks. Her research resulted in publications in international journals and conference proceedings.
Education
Sofia holds a Master of Science and a Bachelor of Science in Computer Science from the University of Crete. Her master's research focused on developing novel techniques for estimating missing multimodal data in wireless sensor networks, building on her background in signal processing and data analysis.