Jose C A L Nascimento

VP Of Engineering at Red Sift

Jose C A L Nascimento has a wide range of work experience in various roles and industries. Jose C A L currently holds the position of VP of Engineering at Red Sift. Prior to this, they co-founded and served as CTO at Propify, where they were involved in product development and improvement using PHP, React, Node, and Lambda functions in Go. Jose C A L also utilized AWS services extensively.

Before Propify, Jose worked as the Head of the Lab (CEO) at Seat Metropolis:Lab, where they successfully led a team of engineers, designers, and QA professionals in developing and creating innovative mobility solutions. During their time there, they developed two products: a ridesharing app and a bus-on-demand solution.

Jose C A L'swork at Hailo as the Director of Technology and Founding Developer was described as a six-year roller coaster ride, involving writing, debugging, learning, improving, and inspiring. Meanwhile, at eCourier.co.uk, they served as the Chief Software Developer, implementing a smart job-allocation system and expanding their understanding of mobility and routing problems.

Jose also gained experience as a Software Development Contractor at Barclays Wealth Management and a Technical Team Lead at UBS Investment Bank. Earlier in their career, they worked as a Senior Integration Consultant at Trilogy Software, serving clients such as British Airways and Prudential. Jose C A L began their career as a Senior Application Developer at Nielsen.

Overall, Jose has demonstrated expertise and leadership in various technology-related roles throughout their career.

Jose C A L Nascimento has a Master's degree in Computer Science from the Florida Institute of Technology, which they obtained from 1992 to 1993. Jose C A L also holds a PG Diploma in Economics from the SOAS University of London, completed in 2004. Additionally, they earned a Bachelor's degree in Computer Science from Point Park University between 1989 and 1991. Furthermore, Jose has acquired certifications in Machine Learning, Introduction to Neuroeconomics: How the Brain Makes Decisions, and Archaeoastronomy from Coursera, with specific dates of completion not provided.

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