Ananth Shenoy
About Ananth Shenoy
Ananth Shenoy is a Software Development Lead at Cashfree Payments, with a background in software engineering and expertise in machine learning and artificial intelligence. He has held various positions at companies including Oracle, MiQ, and Arcesium, and has strong skills in data structures, algorithms, and cloud services.
Work at Cashfree Payments
Ananth Shenoy currently serves as a Software Development Lead at Cashfree Payments, a position he has held since 2022. In this role, he is responsible for overseeing software development projects and leading a team of engineers in Bengaluru, Karnataka, India. His expertise in deploying applications on Kubernetes and utilizing AWS services contributes to the company's technological advancements.
Previous Experience in Software Development
Ananth Shenoy has a diverse background in software development, having worked at several prominent companies. He began his career as an intern at Oracle in 2014 for four months. He then transitioned to Oracle as an Associate Software Engineer from 2014 to 2015. Following this, he worked at MiQ in various roles, including Software Engineer from 2015 to 2016, Senior Software Engineer from 2017 to 2018, and Technical Team Lead from 2019 to 2021. He also served as Engineering Lead at Arcesium from 2021 to 2022.
Education and Expertise
Ananth Shenoy holds a Bachelor of Technology in Information Technology from Manipal Institute of Technology, which he completed from 2010 to 2014. He furthered his education by obtaining a Post Graduate Diploma in Machine Learning and Artificial Intelligence from the International Institute of Information Technology Bangalore from 2018 to 2019. His educational background provides him with a strong foundation in both software development and advanced technologies.
Technical Skills and Specializations
Ananth possesses strong skills in data structures and algorithms, which are essential for effective software development. His technical expertise extends to deploying applications on Kubernetes (K8S) and utilizing AWS services, enabling him to develop and manage scalable applications. His background in machine learning and artificial intelligence enhances his capability to create intelligent systems.