Densen Puthussery

Densen Puthussery has a diverse work experience in machine learning engineering and software development. Densen worked as a Machine Learning Engineer at Founding Minds Inc., starting in January 2021. In this role, they developed, trained, and deployed deep learning algorithms for image processing applications, including object detection, classification, tracking, image enhancements, and restoration. Densen also performed retraining and transfer-learning of object detection models such as YOLOv5, RetinaNet, and Nanodet. Prior to this, Densen worked as a Machine Learning Intern at the same company from September 2020 to January 2021, where they focused on developing and training deep learning algorithms for object detection using similar techniques and models.

In addition to their machine learning experience, Densen also has experience as a Systems Engineer at Infosys from December 2016 to July 2018. In this role, they worked on web app back-end development and standalone Windows application development in the logistics domain. Densen'stechnology expertise includes .NET, MVC, Windows Forms, SQL Server, C#, and Python. Densen also has skills in version control systems (Git, TFS), Agile methodologies (Scrum), Test-Driven Development (TDD), and software prototyping.

Overall, Densen Puthussery has demonstrated proficiency in machine learning engineering, deep learning algorithms, image processing, object detection, and software development.

Densen Puthussery obtained a Master of Technology (MTech) degree in Signal Processing from the College of Engineering Trivandrum, which they attended from 2018 to 2020. Prior to that, they earned a Bachelor of Technology (BTech) degree in Electronics and Communication Engineering from Jai Bharath College of Management and Engineering Technology, where they studied from 2012 to 2016. In addition to their formal education, Densen also completed several certifications, including "An Introduction to Practical Deep Learning," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," and "Neural Networks and Deep Learning." The institution where they obtained these certifications is Coursera, but the specific year and month of completion are not provided.