About

Aditya Choudhary is a highly skilled Machine Learning Engineer with over 3 years of experience in Applied Machine Learning and 2 years as a Backend Engineer. He is currently working at VMware as a Machine Learning Engineer, where he is responsible for developing Unsupervised Anomaly Detection models and their end-to-end production deployment for Endpoint Detection and Response (EDR) system in Carbon Black Security suite. Aditya has a Master's degree in Computer Science from Stony Brook University, NY, with a focus on machine learning, natural language processing, and distributed systems. Aditya is a highly accomplished professional and is currently ranked in the Top 1.5% out of 140,000 on Kaggle Competitions. He has a diverse range of skills in ML, NLP, Deep Learning, AWS, Backend, Python, Sagemaker, Software Engineer, Spark, Apache Airflow, Amazon Athena, Docker, Tensorflow, Search, Spring Boot, Spring, Integration, Research Scientist, Scikit, and Pandas. Aditya has also worked as a Software Engineer Intern at VMware, where he reduced the mean problem resolution time by 15% by developing native integration of vRLI Cloud system logs for NSX-T components in vRealize Operations SaaS platform. Aditya has also worked as a Graduate Research Assistant at Stony Brook University, where he worked at BrookHaven National Laboratory under the guidance of Dr. Yuewei Lin and Prof. Barbara Chapman. Aditya's education history includes a Master of Science - MS degree in Computer Science from Stony Brook University, a Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from MNIT, and he is currently pursuing a Natural Language Processing with Deep Learning degree from Stanford University. Aditya's technical expertise and experience make him an excellent candidate for any organization looking for a highly skilled Machine Learning Engineer.