Karthikeyani Shanmuga Sundaram
About Karthikeyani Shanmuga Sundaram
Karthikeyani Shanmuga Sundaram is a Senior Software Engineer at Bosch Global Software Technologies, specializing in deploying deep learning models in the cloud. With expertise in Python and experience in computer vision tasks, he has contributed to the development of intelligent conversation agents and holds two patents in this area.
Work at Bosch Global Software Technologies
Karthikeyani Shanmuga Sundaram currently holds the position of Senior Software Engineer at Bosch Global Software Technologies, a role he has occupied since 2023 in Bengaluru, Karnataka, India. Prior to this, he served as an Associate Software Engineer from 2019 to 2023 and as a Project Trainee from 2018 to 2019, both in Koramangala, Bangalore. His tenure at Bosch has involved significant contributions to the development and deployment of deep learning models, particularly in the fields of computer vision and natural language processing.
Education and Expertise
Karthikeyani completed his Bachelor of Engineering in Electronics and Communication Engineering at Kumaraguru College of Technology from 2015 to 2019. He achieved his 12th standard at SRI Lathangi Vidhya Mandir Matric Higher Secondary School from 2011 to 2015. His technical expertise includes proficiency in Python and intermediate skills in C#, with a focus on object-oriented programming concepts and design patterns.
Deep Learning and Machine Learning Skills
Karthikeyani has extensive experience in deploying deep learning models in the cloud, utilizing Docker and Kubernetes. He has developed models for various computer vision tasks, including vehicle detection, counting, and number plate recognition. His skill set includes using libraries such as Keras, TensorFlow, Numpy, Pandas, and Hugging Face models for machine learning tasks. He is also skilled in load testing deep learning models in production environments using JMeter.
Innovations and Patents
Karthikeyani has innovated solutions for creating accurate natural language processing (NLP) models with minimal data. He has over two years of experience in building and deploying intelligent conversation agents. His work in this area has led to the filing of two patents related to conversation agents, showcasing his contributions to advancements in this field.
Exploration of Edge Deployment
Karthikeyani has explored the edge deployment of deep learning models and optimization techniques using TensorFlow Lite. This exploration reflects his commitment to enhancing the efficiency and performance of machine learning applications in real-world scenarios.