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[[File:Kushagra Bhargava.png|thumb|Attended IGF 2018 as a Youth Fellow in UNESCO Headquarters in Paris, France.]] | |||
Kushagra is a '''CS graduate student''' at University of Southern California, interested in full stack development, distributed processing as well as machine learning roles. He has 2.5 years of work profile, where he focused to analyze, and build different aspects of web & iOS systems, involving ML models in the back end. | |||
He has led teams through each stage of SDLC, and successfully delivered multiple projects to production, ensuring higher scalability, increased efficiency and better user experience. His contributions towards academic research and corporate are testimonies to the same, please visit his LinkedIn profile: https://www.linkedin.com/in/kushagra-bhargava/ | |||
He firmly believes in '''"Learn and Deliver"''' ideology, which keeps me grounded and eager for "attempting and acing" new ventures. Emphasizing on the principles he lives by, he is open to solving any new challenges that interest him, preferably towards software development and machine learning. | |||
Latest revision as of 18:29, 2 November 2019
Kushagra is a CS graduate student at University of Southern California, interested in full stack development, distributed processing as well as machine learning roles. He has 2.5 years of work profile, where he focused to analyze, and build different aspects of web & iOS systems, involving ML models in the back end.
He has led teams through each stage of SDLC, and successfully delivered multiple projects to production, ensuring higher scalability, increased efficiency and better user experience. His contributions towards academic research and corporate are testimonies to the same, please visit his LinkedIn profile: https://www.linkedin.com/in/kushagra-bhargava/
He firmly believes in "Learn and Deliver" ideology, which keeps me grounded and eager for "attempting and acing" new ventures. Emphasizing on the principles he lives by, he is open to solving any new challenges that interest him, preferably towards software development and machine learning.