Jacob Danovitch
Data & Applied Scientist II
Redmond, Washington, United States
Summary
👤
Senior🎓
Top SchoolJacob Danovitch is a Data & Applied Scientist II at Microsoft with nine years of experience building personalized, LLM-enabled search and grounding for M365 Copilot and search products. He bridges research and production—shipping multi-objective, LLM-powered ranking improvements and leading fine-tuning projects for SLMs with results published in the Microsoft Journal of Applied Research. His background in graph representation learning and GNNs (NeurIPS publications) informs practical personalization and embedding work used across org-wide evaluation tools. He’s delivered data platforms at York’s Refugee Law Lab using scalable open-source stacks (Prefect, Ray, Delta Lake, Kubernetes) and mentors new hires and interns, blending system design, research rigor, and product impact. A less obvious strength: he pairs deep academic research with hands-on engineering that drives measurable relevance gains in large-scale consumer-facing products.
9 years of coding experience
6 years of employment as a software developer
B. CS, Honors, Computer Science, B. CS, Honors, Computer Science at Carleton UniversityMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at McGill University
Github Skills (200)
parallel10
python10
hyperparameter-optimization10
infrastructure10
deep-learning10
automl10
ray10
optimization10
vpn-client10
llm-inference10
ai10
pipeline10
nlp10
lightning10
artificial-intelligence10
Programming languages (14)
Github contributions (5)
jacobdanovitch/Pitch-Level-Win-Expectancy
Feb 2017 - Feb 2018
Contributions:12 commits, 10 pushes, 1 branch in 1 year
jacobdanovitch/allenrank
Jun 2020 - Oct 2020
Contributions:27 commits, 17 pushes, 3 branches in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.