Arjun S Menon

Arjun S Menon has a diverse work experience in the field of machine learning and automotive research. Arjun began their career in 2016 as a Trainee at Candour Auto Tech Pvt. Ltd. In 2019, they joined Mercedes-Benz Research and Development India as a Student Intern, where they worked on projects related to reduced order modeling and machine learning for vehicle thermal comfort. During their time at Mercedes-Benz, they conducted research on reduced order modeling of air flow in an automotive HVAC mixing chamber and developed a machine learning-based predictive model for energy estimation in climate control systems for electric cars.

Since 2021, Arjun has been working at CogniCor Technologies as a Machine Learning Engineer. In this role, they are part of the AI team responsible for natural language processing tasks for digital assistants. Arjun is also involved in the maintenance of existing digital assistant deployments and regularly analyzes client issues and feedback.

Overall, Arjun S Menon's work experience demonstrates their expertise in machine learning, particularly in the areas of natural language processing and predictive modeling for automotive systems.

Arjun S Menon completed their Master of Technology (MTech) degree in Industrial Automation and Robotics from Manipal Institute of Technology. Arjun attended the institute from 2018 to 2020. Prior to that, they pursued a Bachelor of Technology (BTech) degree in Mechatronics Engineering from SRM University. Arjun studied at SRM University from 2013 to 2017.

In addition to their formal education, Arjun has obtained several certifications. Arjun completed the course "Deep Learning and NLP A-Z™: How to create a ChatBot" from Udemy in October 2022. In October 2021, they obtained the certification for "NLP - Natural Language Processing with Python" from Udemy. Arjun completed the course "Feature Engineering for Machine Learning" from Udemy in June 2021.

Arjun has also completed various online courses through Coursera. Arjun obtained the certification for "Sequence Models" in July 2020, "Convolutional Neural Networks" in August 2019, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in July 2019, "Neural Networks and Deep Learning" in June 2019, "AI For Everyone" in May 2019, "Machine Learning with Python" in May 2019, and "Programming for Everybody (Getting Started with Python)" in May 2019.

Lastly, Arjun completed the course "Intelligent Machining" from Coursera in August 2018.