Robert Deline

Sr Principal Researcher at Microsoft

Seattle, Washington, United States
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Summary

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Robert Deline is a Sr Principal Researcher at Microsoft with nearly three decades of industry and academic experience and nine years focused on research-driven engineering practice. He invents developer-facing tools and interactive environments—projects like "Glinda," "Tempe," and "Logan"—to boost productivity, reduce errors, and make machine learning and streaming telemetry more approachable and reliable. A Carnegie Mellon PhD and former University of Washington affiliate professor, he blends formal software-engineering rigor with practical systems work, from model training for IoT to real-time query engines. His open-source contributions include meaningful backend and ML engineering work on Microsoft's Embedded Learning Library (ELL), where he improved bindings, packaging, and long-lived scripting robustness. Colleagues know him for turning careful empirical studies of the emerging data-science profession into usable tooling that addresses day-to-day developer pain points.
code9 years of coding experience
bookPhD, computer science, PhD, computer science at Carnegie Mellon University
bookBS/MS, computer science, BS/MS, computer science at University of Virginia
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Stackoverflow

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Github Skills (6)

c-language10
cprogramming-language10
python10
swig10
llvm9
javascript7

Programming languages (4)

TypeScriptC++JavaScriptJupyter Notebook

Github contributions (5)

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microsoft/ELL

Jun 2017 - Apr 2018

Embedded Learning Library
Role in this project:
userBack-end Developer & ML Engineer
Contributions:27 commits, 10 pushes, 1 branch in 10 months
Contributions summary:Robert significantly contributed to the Embedded Learning Library (ELL) by implementing parameter validation for the SWIG interface, enhancing the robustness of the Python and JavaScript bindings. They developed a Python conda package for ELL, integrating build outputs and necessary utility files. Furthermore, the user fixed an IR emitter bug, ensuring correct identifier generation in long-lived scripting sessions. They also revived and enhanced the `ell_module` to support the ELLView, adding new SWIG methods for loading maps and model refinement.
library-learningiotmachine-learningembedded
A Typescript library for parsing Python 3 and doing basic program analysis, like forming control-flow graphs and def-use chains.
Contributions:55 commits, 2 PRs, 27 pushes in 3 months
pythoncontrol-flowchainsparsingpython-3
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Robert Deline - Sr Principal Researcher at Microsoft