Sreenivas Pn
About Sreenivas Pn
Sreenivas Pn is a Senior Engineer specializing in MLOps at Bosch Global Software Technologies, with a strong educational background in Data Science and Machine Learning. He has previously worked at ABB and Fractal, contributing to industrial process automation and optimization.
Work at Bosch Global Software Technologies
Currently, Sreenivas Pn serves as a Senior Engineer specializing in MLOps at Bosch Global Software Technologies. He has been in this role since 2023, contributing to the development and deployment of machine learning applications. His position involves leveraging his expertise in MLOps to enhance operational efficiency and optimize processes within the organization.
Education and Expertise
Sreenivas Pn has a strong educational background in data science and engineering. He completed a Master of Computer Applications (MCA) in Data Science from Jain (Deemed-to-be University) in 2023. Prior to this, he earned a Post Graduate Diploma in Data Science from Manipal Academy of Higher Education in 2018. He also holds a Bachelor of Engineering (BE) in Mechanical Engineering from Acharya Institute of Technology, completed in 2015. His studies in MLOps at the Indian Institute of Science (IISc) culminated in a PG level certification in 2023.
Background in Machine Learning and Data Science
Sreenivas Pn has extensive experience in machine learning and data science. He worked at ABB as an R&D Engineer focusing on machine learning from 2019 to 2022. Prior to that, he served as a Data Science Intern at ABB from 2018 to 2019. Following his tenure at ABB, he worked at Fractal as an Engineer in MLOps from 2022 to 2023. His background includes a significant focus on industrial process automation and optimization.
Technical Skills and Analytical Techniques
Sreenivas possesses advanced knowledge of various statistical, algebraic, and analytical techniques. He is familiar with multiple deployment frameworks for machine learning applications, which enhances his ability to implement effective solutions in his field. His technical skills support his work in optimizing machine learning processes and improving operational workflows.