Summary
Maria Sargsyan is a machine learning researcher with eight years of experience building and integrating neural network solutions, currently advancing Wolfram's neural net framework and ONNX interoperability. She has hands-on experience training production image identification models and expanding the Wolfram Neural Net Repository, plus practical contributions to OCR systems for both natural and handwritten text. Her background blends a CS bachelor's from the American University of Armenia and an MS in Mathematics and Computer Science from Universität des Saarlandes, giving her strong theoretical and applied foundations. At Wolfram she also mentors and teaches—serving as an instructor for the Wolfram Summer School—demonstrating an aptitude for translating research into educational artifacts. Earlier roles at PicsArt honed her skills in recommendation, churn prediction, and user clustering, reflecting a user-centric approach to ML. Known for a playful GitHub bio, she pairs mathematical curiosity with pragmatic engineering to move models from research into usable tooling.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, CS, Bachelor's degree, CS at American University of Armenia
Master of Science - MS, Mathematics and Computer Science, 1.7, Master of Science - MS, Mathematics and Computer Science, 1.7 at Universität des Saarlandes
English, Russian, Armenian