Anvardh Nanduri
About Anvardh Nanduri
Anvardh Nanduri is a Software Engineer with a Master's degree in Computer Science from George Mason University. He has experience in software development and algorithm design, having worked at Honeywell Aerospace, Amazon Web Services, and FINRA.
Work at FINRA
Anvardh Nanduri has been employed as a Software Engineer at FINRA since 2019. In this role, he applies his expertise in software development to enhance the organization's technological capabilities. His responsibilities include resolving software change requests and contributing to various projects that support FINRA's mission in regulating the securities industry.
Education and Expertise
Anvardh Nanduri earned his Master's degree in Computer Science from George Mason University, where he studied from 2014 to 2016. His academic background provides a strong foundation in software engineering principles and computational algorithms. This education has equipped him with the skills necessary to tackle complex software challenges in his professional career.
Background
Before joining FINRA, Anvardh Nanduri gained valuable experience in various roles. He worked as a Research Assistant and Research Instructor at George Mason University from 2014 to 2017. He also served as a Software Development Engineer at Amazon Web Services from 2017 to 2019. His early career included a position as an Engineer at Honeywell Aerospace in India from 2011 to 2013.
Achievements at Honeywell Aerospace
During his tenure at Honeywell Aerospace, Anvardh Nanduri contributed to significant projects related to the Next Generation Flight Management Systems (NGFMS). He resolved numerous software change requests and designed efficient computational algorithms. His work included the development of Engine-out Operations, Go Around Safe Speeds, and Take Off Safe Speeds, which are critical for aviation safety.
Research Contributions
Anvardh Nanduri has made contributions to research in the field of machine learning and aviation. He worked on solving the link prediction problem in dynamic social networks using supervised machine learning algorithms. Additionally, he was involved in the design, simulation, and rapid prototyping of enhanced cockpit designs for the Boeing 777 aircraft at George Mason University.