Devendra Deshmukh

Software Engineer Ii @ Sandvine

About Devendra Deshmukh

Devendra Deshmukh is a Software Engineer II at Sandvine, specializing in machine learning and software development using Linux. He holds an MTech in Communication and Signal Processing from the Indian Institute of Technology, Ropar, and a BTech in Electronics and Telecommunication Engineering from Shri Guru Gobind Singhji Institute of Engineering and Technology.

Work at Sandvine

Devendra Deshmukh has been employed at Sandvine as a Software Engineer II since 2021. In this role, he focuses on software development and deployment, leveraging his technical skills to contribute to the company's projects. His proficiency in Linux plays a crucial role in his daily tasks, enabling efficient development processes.

Education and Expertise

Devendra Deshmukh holds a Master of Technology (MTech) in Communication and Signal Processing from the Indian Institute of Technology, Ropar, which he completed from 2018 to 2020. Prior to this, he earned a Bachelor of Technology (BTech) in Electronics and Telecommunication Engineering from Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded, from 2013 to 2017. His educational background provides a strong foundation for his work in software engineering and machine learning.

Technical Skills

Devendra Deshmukh is proficient in several programming and data analysis tools. He utilizes Scikit-Learn, NumPy, and Pandas for machine learning projects, demonstrating his capability in data manipulation and model development. Additionally, he employs TensorFlow to create machine learning models and uses Matlab for signal processing tasks. His experience with GNU Radio and Software Defined Radio (SDR) technologies further enhances his technical skill set.

Machine Learning Projects

In his role, Devendra Deshmukh applies his expertise in machine learning to various projects. He leverages libraries such as Scikit-Learn and TensorFlow to develop models that address specific challenges. His knowledge of data manipulation through NumPy and Pandas supports his work in analyzing and processing data effectively.

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