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Gavish Poddar
GSoC @ Python Software Foundation | MLH Fellow | CNCF Lead
About
Gavish Poddar is a highly motivated and skilled professional with a passion for software development and open-source technology. With 0.86 years of relevant experience in the field, Gavish has proven himself to be a valuable asset to any team he works with. Currently, Gavish is working as a Community Lead at CNCF, where he is responsible for building and managing a vibrant community of developers and contributors. Prior to this, he worked as an MLH Prep Fellow at MLH Fellowship and as a Student Developer at Google Summer of Code for Python Software Foundation. Gavish holds a Bachelor of Computer Application degree in Computer Science from GD Goenka University, where he gained a deep understanding of programming languages such as Python. He is constantly seeking new challenges and opportunities to expand his knowledge and skills in the field. As a GSoC at Python Software Foundation, Gavish has developed expertise in various areas of software development, including machine learning, data analysis, and web development. He is also a MLH Fellow and CNCF Lead, where he has honed his skills in community building, project management, and leadership. Gavish is highly proficient in Python and has a strong passion for open-source technology. He is always looking for ways to contribute to the community and has participated in various hackathons and coding challenges. His strong work ethic, attention to detail, and ability to work well under pressure make him an asset to any team. In summary, Gavish Poddar is a talented and driven professional with a deep passion for software development and open-source technology. With his strong skills in Python, community building, and project management, he is well-positioned to make a significant contribution to any organization he works with.
Education Overview
• gd goenka university
Companies Overview
• cloud native computing foundation cncf
• mlh fellowship
• python software foundation
• google summer of code
Experience Overview
1.2 Years
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