Pranav Kanuparthi

Machine Learning Engineer at Qeexo

Pranav Kanuparthi has a diverse range of work experience in the field of machine learning and technology innovation. Pranav currently works as a Machine Learning Engineer at Qeexo since 2021. Prior to this, they co-founded WELLNESYS in 2017 and held multiple roles including the Chief Innovation Officer. During their time at WELLNESYS, they led the core technology development team and successfully developed a state-of-the-art wellness mat called 'YogiFi' with built-in technology to monitor yoga postures. Pranav also led a think-tank group, focusing on designing novel technologies for future products. Pranav's work at WELLNESYS included developing a Convolutional Neural Network architecture achieving 98% accuracy for yoga pose classification using data from a pressure sensor matrix.

Before their role at WELLNESYS, they served as a Graduate Research Assistant at Carnegie Mellon University in 2020, where they worked on developing Temporal Neural Network (TNN) architectures for Keyword Spotting using Pytorch based Library. In this position, they achieved an accuracy of 73% on the Spoken MNIST dataset.

Pranav's work experience also includes being a Board Member at the RVCE chapter of International Society of Automation (ISA) from 2015 to 2016 and working as an intern at Technosphere Labs in 2016.

Pranav Kanuparthi completed their education at various institutions and obtained several certifications. Pranav began their academic journey in 2013 at RV College Of Engineering, where they pursued a Bachelor of Engineering (BE) in Electronics and Instrumentation. Pranav graduated from this program in 2017.

In 2017, Pranav obtained multiple certifications related to data analysis and programming. These certifications include the Deep Learning Nanodegree from Udacity, as well as certifications in Data Analyst with Python, Data Manipulation with Python, Importing & Cleaning Data with Python, Machine Learning with Python, and Python Programmer from DataCamp. Additionally, they obtained a Machine Learning certificate from Coursera Course Certificates in 2016 and an edX Verified Certificate for Embedded Systems - Shape the World, although the specific dates are unavailable.

More recently, Pranav pursued a Master of Science (MS) degree in Electrical and Computer Engineering from Carnegie Mellon University. Pranav enrolled in 2020 and completed their degree in 2021. Moreover, they received a certification for their Master of Science degree from Carnegie Mellon University in June 2021.

Overall, Pranav Kanuparthi's education history consists of a Bachelor's degree in Electronics and Instrumentation from RV College Of Engineering, along with a Master's degree in Electrical and Computer Engineering from Carnegie Mellon University. Pranav also obtained numerous certifications in various fields, including data analysis, programming, and machine learning.

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Timeline

  • Machine Learning Engineer

    September, 2021 - present