Daniel Shiff

Daniel Shiff

Sr Software Engineer @ Rally Health

About Daniel Shiff

Daniel Shiff is a Senior Software Engineer at Rally Health in Chicago, Illinois, where he has worked since 2021. He has a diverse academic background in philosophy and physics, complemented by extensive experience in software engineering and algorithm development.

Work at Rally Health

Daniel Shiff has been employed at Rally Health as a Senior Software Engineer since 2021. He operates out of Chicago, Illinois, where he contributes to the development of software solutions aimed at improving health outcomes. His role involves utilizing his programming expertise to enhance the efficiency and readability of code, thereby supporting the company's mission to empower individuals to take charge of their health.

Previous Experience in Software Engineering

Prior to his current position, Daniel Shiff worked at HERE, a Nokia company, as a Software Engineer from 2014 to 2021. During this seven-year tenure in Chicago, he developed various software applications and contributed to projects that required a strong understanding of algorithms. His earlier experience also includes a role as a Research Assistant at the University of Pennsylvania High Energy Physics for four months in 2010.

Education and Expertise

Daniel Shiff holds a Master of Science (MSc) in Computer Science from The University of Chicago, which he completed in 2014. He also earned a Master of Arts (M.A.) in Logic and Philosophy of Science from the University of California, Irvine, from 2011 to 2013. His undergraduate studies were at the University of Pennsylvania, where he received a Bachelor of Arts (B.A.) in Philosophy and Physics. This diverse educational background supports his specialization in creating algorithms that enhance code efficiency.

Teaching and Tutoring Experience

In addition to his software engineering roles, Daniel Shiff has experience in academia. He served as a Teaching Assistant at UC Irvine School of Social Sciences from 2011 to 2013. He also worked as a Student-Athlete Tutor at the University of Pennsylvania High Energy Physics from 2008 to 2010. These roles allowed him to develop strong communication skills and a capacity for mentoring students.

Programming Skills and Interests

Daniel Shiff has a strong preference for programming in Python and Java. He enjoys learning new programming languages and adapts to them quickly, which enhances his ability to tackle diverse software engineering challenges. His focus on algorithm development reflects his commitment to improving code efficiency and readability in his projects.

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