About

Andrew Conegliano is a skilled software engineer with extensive experience in building data and machine learning pipelines. He is currently working as a Staff Software Engineer and Machine Learning Engineer at Intuit AI - Payments Risk & Fraud. Andrew's expertise in ML and software engineering has enabled him to develop and deploy full-stack web applications that parse and store data, create aggregated service status graphs, and display the data on interactive sites. Andrew's past experiences include working as a Systems Engineer Intern at Sony Network Entertainment International and a Business Analyst Intern at UBS. At Sony, Andrew participated in the SNEI Intern Hackathon 2014 and won 1st place out of 18 teams by creating a data management web application that reduced operating and opportunity costs. At UBS, he developed and managed a SharePoint collaboration site for a large-scale cost reduction program and analyzed and created presentations regarding outsourced employees per region. Andrew holds a Master of Science degree in Computer Science from the University of California and a Bachelor of Science degree in Electrical and Computer Engineering from Rutgers University. He has a strong tech stack that includes ML, software engineering, senior software engineering, AI, web development, and MySQL. With almost 8 years of relevant experience, Andrew is a highly skilled software engineer who is passionate about building data and machine learning pipelines. He is a team player who enjoys collaborating with others to develop innovative solutions that solve complex problems. Andrew is an excellent communicator and is always willing to share his knowledge and expertise with others.