Praveen Sampat

Praveen Sampat has a diverse and extensive work experience in the software engineering field. Praveen began their career at Intel Corporation in 1993 as a Software Engineer, where they played a key role in various projects and eventually progressed to become a Software Architect and then a Software Engineering Manager. During their time at Intel, Praveen contributed to the development of host software for ultrawideband wireless processors, certified the interoperability of Wireless USB products, and patented systems for optimizing performance in wireless adapters.

In 2009, Praveen joined Sheferman Inc. as a Lead Software Engineer, iOS. Here, they achieved success by developing an iOS astronomy platform and a mobile-based community for local services. Praveen also designed a web platform for college selection support.

From 2012 till 2017, Praveen worked at Biomedtrics, Inc. as a Lead Software Engineer, iOS. Their contributions involved leading a team of 10 developers to redesign and rewrite existing iOS and Android applications, optimizing the UI/UX and improving ratings. Praveen also engineered an iOS and Android framework for extracting blood glucose readings from a variety of glucose meters. In addition, Praveen developed new features using design patterns that optimized the codebase and improved maintainability.

Their most recent work experience is as an iOS Engineer at HealthTap since 2017. Further details about this role are not provided in the structured information.

Praveen Sampat holds a Master of Science (MS) degree in Computer Science from Purdue University. Prior to that, they obtained a Bachelor's degree in Computer Science from the same institution. Praveen also has several additional certifications, including Machine Learning from Coursera Course Certificates in September 2016, The Analytics Edge from edX in July 2016, Exploratory Data Analysis from Coursera Course Certificates in March 2016, Getting and Cleaning Data from Coursera Course Certificates in March 2016, R Programming from Coursera Course Certificates in February 2016, and The Data Scientist's Toolbox from Coursera Course Certificates in January 2016. Furthermore, they have completed several courses on specialized topics such as Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, and Neural Networks and Deep Learning, all through Coursera.