Kate Solonko
Senior Applied Scientist at Microsoft
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolKate Solonko is a Senior Applied Scientist in London with five years focused on applied ML and product-first research, currently working on post-training for M365 Copilot at Microsoft. Her trajectory at Microsoft spans semantic search, people-centric inference, and high-risk exploration projects that bridge research and production systems, giving her deep experience in large-scale data pipelines and compliant inferencing. She began as a software engineer building distributed Office Graph storage and earlier contributed to NLP and handwriting prediction at Samsung, grounding her work in both systems and ML research. Kate has supplemented her technical training with graduate coursework at Stanford and hands-on ML education from Yandex School of Data Analysis, and she has recently explored RLHF robustness and misalignment evaluation in academic-industry collaboration. Colleagues would describe her as research-minded but delivery-focused, skilled at turning literature-driven ideas into practical, user-facing AI features.
5 years of coding experience
13 years of employment as a software developer
Graduate Courses, Graduate Courses at Stanford University School of EngineeringYandex School of Data AnalysisIgor Sikorsky Kyiv Polytechnic Institute
English, Українська, Norwegian
Github Skills (4)
jupyter-notebook10
pytorch9
deep-learning8
machine-learning7
Programming languages (2)
Github contributions (5)
katesolonko/pytorch-Deep-Learning
Dec 2020 - Dec 2020
Deep Learning (with PyTorch)
Contributions:2 PRs, 3 pushes, 1 branch in 1 day
deep-learningpytorchconvolutional-neural-networkmachine-learning
katesolonko/DQN
Jul 2024 - Jul 2024
Contributions:1 push in 1 day
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