Ashwin Kumar J S
About Ashwin Kumar J S
Ashwin Kumar J S is an ML Operations Engineer at Uniphore in Bengaluru, India, where he has worked since 2022. He specializes in enhancing system interoperability and user experience through the design of RESTful APIs and the optimization of machine learning models.
Work at Uniphore
Ashwin Kumar J S has been employed at Uniphore as an ML Operations Engineer since 2022. In this role, he focuses on enhancing system interoperability and user experience by designing and developing RESTful APIs. His work contributes to the overall functionality and efficiency of machine learning operations within the organization.
Previous Experience
Before joining Uniphore, Ashwin worked at Tata Consultancy Services as an Assistant System Engineer from 2021 to 2022. He also served as Team Manager for Anokha, the Amrita University Techfest, for a brief period in 2020, where he managed technical events. His experience includes integrating Kafka topics into data architecture for real-time communication and data streaming.
Education and Expertise
Ashwin Kumar J S earned his Bachelor's degree in Electrical, Electronics and Communications Engineering from Amrita Vishwa Vidyapeetham, completing his studies from 2017 to 2021. His educational background provides a strong foundation for his expertise in machine learning operations and software development.
Technical Skills and Contributions
Ashwin has played a significant role in containerizing machine learning models using Docker, which aids in scalability and management. He has implemented Websockets for real-time communication, enhancing user engagement in applications. Additionally, he established a Continuous Integration/Continuous Deployment (CI/CD) pipeline on GitHub, automating various processes to improve efficiency.
Collaboration and Optimization
In his professional capacity, Ashwin collaborates with engineering and data science teams to fine-tune machine learning models for improved accuracy and performance. He has also optimized large language models using advanced frameworks, ensuring their effectiveness in production environments.