Ratan Immidisetti
Senior Machine Learning Engineer at Workday
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolRatan Immidisetti is a Senior Machine Learning Engineer with 8 years of experience building production-ready computer vision, NLP, and multimodal models across Amazon, Precision Sustainable Agriculture, and Workday. He has shipped practical ML solutions from plant-semantic segmentation research to large-scale product classification and AutoML improvements at Amazon, where his work on pretraining and model compression significantly boosted downstream recall while cutting labeled-data needs. Comfortable across the stack, he combines model architecture design, LoRA finetuning, decision-tree query extraction, and deployment-focused optimization for constrained environments. Based in Sunnyvale with a Master’s in Computer Science from NC State, he repeatedly turns research into measurable impact—one example being a seedling growth-tracking pipeline that paired custom dataset collection with KLT-based motion analysis. Colleagues value him for balancing deep technical rigor with pragmatic engineering that reduces costs and accelerates time-to-value.
8 years of coding experience
6 years of employment as a software developer
Masters Computer Science, Masters Computer Science at North Carolina State UniversityBachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Shanmugha Arts, Science, Technology & Reserch Academy (SASTRA), Thanjavur
Github Skills (17)
armv79
armv87
arm6
computer-vision6
nvidia6
cpp6
sve6
android6
opencl6
linux6
simd5
java5
machine-learning5
neural-network4
neon4
Programming languages (4)
Github contributions (5)
irkingmaker/multimodal-flood-classification
Jan 2022 - Dec 2023
Contributions:23 pushes, 1 branch in 1 year 11 months
irkingmaker/cs231
Jul 2018 - Jan 2021
Assignment 2 for CS231N - Convolutional Neural Networks for Visual Recognition. Implemented various CNN concepts from scratch using python.
Contributions:2 pushes, 1 branch in 2 years 6 months
pythondeep-learningrecognitionconvolutionalneural-networks
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