Ishank Jain

Software Engineer @ Sandvine

About Ishank Jain

Ishank Jain is a Software Engineer with experience in system development and software engineering. He has worked at Baylis Medical Company and currently serves at Sandvine, contributing to various projects including 5G automation and microservice metrics integration.

Work at Sandvine

Ishank Jain has been employed at Sandvine as a Software Engineer since 2021. His role involves contributing to software development projects and enhancing system capabilities. He has been part of initiatives aimed at improving network performance and analytics.

Previous Experience at Baylis Medical Company

Ishank Jain worked at Baylis Medical Company in two capacities. He served as an Associate System Developer for seven months in 2019 and later as a System Developer for four months in 2021. Both positions were based in Mississauga, Ontario, Canada, where he contributed to system development projects.

Internship Experience

Ishank Jain gained early experience through internships. He worked as an IT Intern at Emerson Automation Solutions in Dubai, United Arab Emirates, for six months from 2017 to 2018. Additionally, he interned at Goodtel Co., Ltd. in Gurgaon, India, for two months in 2016.

Education and Expertise

Ishank Jain holds a Master of Mathematics (MMath) from the University of Waterloo, where he studied from 2018 to 2020. He also earned a Bachelor of Engineering (B.E.) Hons. from the Birla Institute of Technology and Science, Pilani Dubai, completing his degree from 2014 to 2018. His educational background provides a strong foundation in mathematics and engineering principles.

Technical Contributions and Projects

Ishank Jain has made significant technical contributions in his roles. He served as a Scrum Master, enhancing team productivity through effective sprint planning. He developed a Network Data Analytics Function (NWDAF) for 5G automation, focusing on performance management. Additionally, he integrated logs from WSGI servers and microservices for improved system monitoring and optimized resource management through custom scripts for Kubernetes containers.

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