Rajas Deshpande
Senior Software Engineer at Webflow
Austin, Texas Metropolitan Area United States
Summary
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Senior🎓
Top SchoolRajas Deshpande is a Senior Software Engineer based in Austin with eight years of experience building production-grade AI systems that go beyond demos to deliver tangible business impact. He has led end-to-end AI initiatives at ClearBlade, shipping multiple production features—including a patented dynamic inferencing system—and architected scalable ML pipelines on GCP with automated training, deployment, and ONNX synchronization. Comfortable in ambiguity, he translates messy requirements into reliable products, from conversational agents that cut entity-creation time by 80% to real-time video and sensor analytics that improved conversion and detection outcomes. His technical breadth spans TypeScript, Go, React microfrontends, and backend services, plus tooling such as a Golang CLI that migrated over a million IoT devices. Now at Webflow, he continues to blend systems thinking with pragmatic engineering to move ML from prototype to sustained production use.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Syracuse UniversityBachelor of Engineering, Computer Engineering, Bachelor of Engineering, Computer Engineering at Savitribai Phule Pune University
English, Hindi, Marathi
Github Skills (21)
iot-core10
google-cloud-iot10
python9
machine-learning9
tensorflow9
neural-network9
deep-learning9
google-cloud8
deep-neural-networks8
ml8
golang7
cloud-storage7
go7
javascript4
cloud-platform4
Programming languages (6)
Github contributions (5)
ClearBlade/clearblade-iot-core-migration
Oct 2022 - Mar 2023
Go tool that migrates devices from Google IoT Core registries to ClearBlade device table
Contributions:2 releases, 7 reviews, 61 commits in 5 months
goiot-core
rajasd27/GCloud-Tensorflow-and-ClearBlade-Edge-Integration
Jul 2019 - Jul 2019
A user can use Google Cloud Platform to train a machine learning model using Tensorflow and ClearBlade Edge to test the model in realtime
Contributions:292 pushes, 1 branch in 1 day
realtimeapp-enginegoogle-cloud-platformmachine-learningedge
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