Harsh Shenoy
About Harsh Shenoy
Harsh Shenoy is a Software Development Engineer (SDE) at BharatPe, where he has worked since 2023. He has a background in computer science and has contributed to various projects that improved code efficiency and system performance.
Work at BharatPe
Harsh Shenoy has been employed at BharatPe as a Software Development Engineer (SDE) since 2023. He works in a hybrid model from Gurugram, Haryana, India. During his tenure, he has successfully built an External Communication Service that reduced code weight by 20%. This initiative also improved code visibility and maintenance, showcasing his technical skills and commitment to enhancing software efficiency.
Previous Experience at Money View
Before joining BharatPe, Harsh Shenoy worked at Money View as an SDE from 2021 to 2023. His role was primarily remote, allowing him to contribute effectively from Karnataka, India. During his time there, he focused on various software development projects, enhancing his expertise in the field.
Experience at SAP Labs India
Harsh Shenoy also gained experience as a Product Engineer at SAP Labs India in 2021. His tenure lasted for five months in Bengaluru, Karnataka. In this role, he contributed to the development of Personal Loans and Consumer Durable Loans, integrating several Direct Selling Agents, which led to a 43% increase in cumulative revenue.
Education and Expertise
Harsh Shenoy completed his Bachelor of Engineering (BE) in Computer Science at BMS Institute of Technology and Management from 2017 to 2021. His educational background provided a strong foundation in software development principles and practices, which he has applied in his professional roles.
Technical Contributions
Throughout his career, Harsh Shenoy has made significant technical contributions. He worked on credit limit management using Spring Expressions, which allowed for the storage of complex mathematical formulas in the database. Additionally, he developed a cache-client using Redis and Mem-Cache, which reduced database fetch calls by 75%, thereby enhancing overall system response time.