Baiju Meswani
Software Engineer at Microsoft
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolBaiju Meswani is a versatile software engineer with nine years of experience building scalable systems and ML-enabled products across Microsoft, Bloomberg, and Apple. Based in Bellevue, he blends backend and DevOps expertise with hands-on ML work—contributing to Microsoft's high-profile ONNX Runtime by improving CI/CD for distributed tests and adding on-device training support. His background includes designing real-time market analytics and pricing services at Bloomberg and developing computer vision and image-processing test suites at Apple, showing strong cross-domain adaptability. Comfortable moving between research-grade models and production pipelines, he excels at shipping reliable, automated solutions under tight timelines. Colleagues describe him as resourceful and driven, able to tackle diverse technical challenges quickly while focusing on measurable impact.
9 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.), Electrical and Computer Engineering, Master of Science (M.S.), Electrical and Computer Engineering at Georgia Institute of TechnologyBachelor of Technology (B.Tech.), Electronics and Telecommunication Engineering, Bachelor of Technology (B.Tech.), Electronics and Telecommunication Engineering at Veermata Jijabai Technological Institute (VJTI)
Github Skills (14)
docker10
onnx10
python10
dockers10
cicd10
automations9
automation9
machine-learning9
pytorch9
deep-learning8
roc8
github-ci8
cuda8
githubaction-workflow8
Programming languages (5)
Github contributions (5)
microsoft/onnxruntime
Nov 2020 - Jan 2023
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Role in this project:
DevOps Engineer & ML Engineer
DevOps Engineer & ML EngineerContributions:1701 reviews, 183 commits, 476 PRs in 2 years 2 months
Contributions summary:Baiju contributed to the CI/CD pipeline and implemented features for on-device training. The user modified the Azure CI pipeline for distributed environment tests and enhanced the install scripts by adding support for on-device training dependencies. The user also worked on the model export from the onnx models as well.
runtimetrainingtensorflowai-frameworkaccelerator
microsoft/onnxruntime-genai
Feb 2024 - Apr 2025
Generative AI extensions for onnxruntime
Contributions:4 releases, 512 reviews, 315 PRs in 1 year 2 months
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