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Anirudh Srinivas has a diverse range of work experience. Starting in 2017, they worked as an Intern at ITGlobe Inc., where they gained hands-on experience in modeling air, land, and sea defense scenarios using geo-spatial analysis. Anirudh then worked as a Research Intern at the Defence Research and Development Organisation (DRDO), where they contributed to projects involving UAV flight path modeling and image processing techniques. In 2017, Anirudh also completed an internship program at the National University of Singapore, where they gained practical experience with industry-grade technologies like Hadoop, Ambari, MapReduce, Python, and R. Anirudh achieved an A grade in the program. In 2019, Anirudh worked as a Research Assistant at Nucleus Software. Anirudh then joined the Music Technology Group in 2020 as a Thesis Student, successfully defending their thesis under the mentorship of Professor Sergi Jorda. Anirudh also solved the "Infilling Task" in a drum score using the Transformer architecture, aiming to generate controlled scores for voice or instrument. In 2020, Anirudh worked as a Machine Learning Engineer at Megdap Innovation Labs, and currently, they are employed as an AI Research Scientist at Level AI since December 2021.

Anirudh Srinivas completed their education at the Birla Institute of Technology and Science, Pilani. From 2015 to 2020, they obtained a Master's degree in Mathematics and a Bachelor of Engineering (BE) degree in Electrical and Electronics Engineering.

In addition to their academic degrees, Anirudh has obtained several certifications. In September 2021, they completed courses in "Building Web Applications in Django," "Django Features and Libraries," "Learning React.js," and "Web Application Technologies and Django" from Coursera. In October 2020, they completed the certification for "Natural Language Processing with Sequence Models" from Coursera. Anirudh also obtained certifications for "Natural Language Processing with Probabilistic Models" in September 2020 and "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" in April 2020, both from Coursera.

Furthermore, Anirudh has additional certifications related to TensorFlow and natural language processing but the specific completion dates are not provided. These certifications include "Convolutional Neural Networks in TensorFlow," "Natural Language Processing in TensorFlow," "Natural Language Processing with Classification and Vector Spaces," "Python Basics," "Sequences, Time Series and Prediction," and "TensorFlow in Practice Specialization," all from Coursera.

It is important to note that no other education or training experiences are mentioned, so no assumptions can be made beyond the information provided.