Applied Intuition
Aditya Varshney has a diverse work experience in software engineering and machine learning. In 2016, they began as a Technical Tutorial Editor for hack.guides() at Pluralsight. In 2017, they worked as an Algorithms Intern at Snap-on Tools, where they reconstructed patterns found in binary vehicle data to expand diagnostic equipment coverage and created a data visualization executable using Python and Excel. In 2018, they worked as a Machine Learning and Software Engineering Intern at Linc Global Inc, where they helped design and build the company's back-end data pipeline and implemented and integrated a natural language classifier API. In 2019, they worked as a Data Science Intern for Information Security at Apple, where they built a smart network visualization system for threat triage and presented their results to Apple Information Security leadership. In 2020, they joined Apple as a rotational employee and worked with the Data Science team for 3-6 months before rotating to a different team in Apple's Information Security division. Currently, they are working as an Engineering at Applied Intuition.
Aditya Varshney graduated from the UC Berkeley College of Engineering in 2020 with a Bachelor of Science in Electrical Engineering and Computer Science.
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Applied Intuition
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Applied Intuition offers simulation software and infrastructure tools to safely test and validate autonomous vehicles at scale.