Anil Kumar Nayak

Anil Kumar Nayak has a diverse and extensive work experience in various roles and companies. Anil Kumar is currently working as a Manager and Lead Machine Learning Engineer at Metropolis, an AI and computer vision start-up. Anil Kumar'sresponsibilities include building ML infrastructure, training deep learning algorithms, and researching state-of-the-art computer vision algorithms. Before joining Metropolis, they also worked as a Machine Learning Engineer at the same company.

Prior to their current role, Anil worked as a Senior Software Engineer at Fidelity Investments, where they analyzed and migrated the legacy finance system to a new system. Anil Kumar also gained experience as a Software Engineer (Machine Learning/Computer Vision) at Omnee Inc., where they focused on edge computing, TensorFlow, Keras, and OpenCV, among other technologies.

Anil's work experience also includes time at The University of Texas at Arlington, where they served as a Graduate Research and Teaching Assistant and conducted research on ClaimBuster fact checking and fact finding application. Anil Kumar also worked as a Graduate Research Assistant, focusing on the Google Crawling and Search Module.

In addition, Anil has experience as a Senior Software Engineer at Fidelity Investments, where they worked on core Java development, database query optimization, and served as a team lead for trade processing. Anil Kumar also worked as a Software Developer at ANZ, where they developed modules for managing customer profiles. Anil began their professional career as a Developer at Tata Consultancy Services.

Overall, Anil Kumar Nayak has gained expertise in various areas such as machine learning, computer vision, software engineering, and database development throughout their career.

Anil Kumar Nayak completed their Master's degree in Computer Science from The University of Texas at Arlington from 2016 to 2018. Prior to that, they obtained a Bachelor's degree in Information Technology from Veer Surendra Sai University Of Technology (Formerly UCE) from 2005 to 2009. Earlier, they completed their High School education in Science from Government Autonomous College Angul from 2002 to 2004.

In addition to their formal education, Anil Kumar Nayak has obtained several certifications. These include "End-to-End Machine Learning with TensorFlow on GCP" from Coursera in August 2020, "Machine Learning" from Coursera in September 2018, "Convolutional Neural Networks" from Coursera in August 2018, "Deep Learning Specialization" from deeplearning.ai in August 2018, "Sequence Models" from Coursera in August 2018, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera in June 2018, "Neural Networks and Deep Learning" from Coursera in June 2018, and "Structuring Machine Learning Projects" from Coursera in June 2018.