About

Prasanna Parthasarathy is a highly skilled Senior Software Engineer at Wayfair with over 7.86 years of experience in the field. He holds a Master's degree in Computer Science and is passionate about working on challenging roles related to software development, AI, machine learning, and distributed system software. At Wayfair, Prasanna is responsible for leveraging distributed system frameworks and databases to deliver software components at scale. He has also architected and developed revenue recognition, budget control, attribution, and reporting systems for Wayfair's Supplier Advertising platform. Additionally, he has been responsible for designing and executing on-prem to GCP cloud migration for Advertising STO's big data systems. Prior to his current role, Prasanna worked at George Mason University as a Graduate Research and Teaching Assistant. During his tenure, he worked in the lab of Dr. Amarda Shehu to investigate the potential of protein contact distance metrics as objective functions in the stochastic optimization problem of template-free Protein Structure Prediction. He was also involved in exploring deep learning sequencing/generative methods. Prasanna also served as a Graduate Teaching Assistant in the Information Sciences and Technology department at Volganeau School of Engineering, George Mason University. Prasanna has also worked as a Member Technical Staff at Zoho, where he designed and implemented configuration, communication, data collection, and visualization modules for multi-tier Enterprise IoT Platform in the process of integrating various Industrial Gateways, protocols, and delivered various Remote monitoring solutions. He has also created data acquisition, event detection, and propagation modules for Edge Device applications. Prasanna has held responsibility for leading a small team, delivery, and implementation on a client site. Prasanna's technical skills include Software Engineering, Research Science, AI, Big Data, GCP, ML, Integration, Deep Learning, iOS, Mobile, Java, MySQL, SQL, Spring, Spark, Kubernetes, Docker, Javascript, MongoDB, Elastic Search, Kafka, Spring Boot, Microservices, Backend, Web, infra, and Python.