Niyati Shah
Staff Software Engineer at GEICO
Long Beach, California, United States
Summary
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Senior🎓
Top SchoolNiyati Shah is a Staff Software Engineer with nine years of experience building data-driven ML and software solutions, currently advancing reliability and scale at GEICO. She holds an MS in Computer Science from CSU Long Beach and led graduate research that combined autoencoders, PCA and ResNet50 feature extraction to achieve 95% accuracy in automated microstructure identification. Comfortable across Python, Java, R and SQL, she bridges research and production—deploying models, crafting Android apps that run ML models, and contributing project code on GitHub. Her background spans enterprise systems at Elevance Health and Credence Analytics, where she sharpened backend and data engineering skills. A practical problem-solver, she pairs strong communication with experience in computer vision techniques (HOG, SIFT) and deep learning stacks (TensorFlow/Keras). Less obvious: she built a Tkinter tool for visual micrograph search, reflecting an appetite for end-to-end tooling that makes research models immediately usable.
9 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at California State University, Long BeachBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai
Marathi, Gujarati, Hindi, EnglishGithub contributions (5)
Niyati1/Object_Oriented_Programming
Jul 2018 - Jul 2018
Contributions:69 pushes, 1 branch in 7 days
Niyati1/Android-Projects
Jul 2018 - Jul 2018
Contributions:34 pushes in 1 day
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