Sudhanshu Saini

Technical Lead @ Phyllo

About Sudhanshu Saini

Sudhanshu Saini is a Technical Lead currently working at Phyllo, with a solid background in software engineering and a strong foundation in data structures and algorithms. He has previously held positions at companies such as Razorpay, Groupon, Myntra, and Amazon, and has expertise in machine learning and competitive programming.

Current Role at Phyllo

Sudhanshu Saini serves as a Technical Lead at Phyllo, a position he has held since 2024. In this role, he applies his extensive experience in software development and technical leadership to guide projects and teams. His responsibilities include overseeing technical implementations and ensuring the quality of software solutions. His current work reflects his commitment to advancing technology within the organization.

Previous Experience at Razorpay

Before joining Phyllo, Sudhanshu Saini worked at Razorpay as a Senior Software Engineer from 2021 to 2023. During his two-year tenure in Bangalore Urban, Karnataka, he contributed to the development of payment solutions, enhancing his skills in software engineering and team collaboration.

Experience at Myntra and Groupon

Sudhanshu Saini has significant experience in the tech industry, having worked at Myntra as a Software Developer from 2017 to 2020. He also served as a Senior Software Engineer at Groupon for one year, from 2020 to 2021, in Bengaluru, Karnataka. These roles allowed him to deepen his expertise in software development and project management.

Education and Academic Background

Sudhanshu Saini completed his Bachelor’s Degree in Computer Science at Maulana Azad National Institute of Technology from 2013 to 2017. Prior to this, he attended DAV Public School Dudhichua, where he studied science and mathematics and achieved his 12th grade from 2010 to 2012. His educational background provides a solid foundation for his technical skills.

Technical Skills and Competitive Programming

Sudhanshu Saini possesses a strong foundation in data structures and algorithms, which enhances his technical capabilities. He is also skilled in machine learning, complementing his programming expertise. Additionally, he actively participates in competitive programming on platforms such as Spoj, Codeforces, and Codechef, showcasing his commitment to continuous learning and skill development.

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