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Jessica Tawade has over five years of work experience in the software development field. Jessica started their career in 2015 as a Technical Intern at Fidelity Investments, where they worked for three consecutive summers. In 2016, they designed an application to reduce time spent manually processing representative compensation data and in 2017, they designed and developed an Angular 4 UI to automate entries into Fidelity’s Hierarchy Management System. In 2018, Jessica worked as a Financial Software Engineering Co-op at oneZero Financial Systems, where they fixed bugs and designed new features within the company’s Liquidity Hub platform. During their undergraduate studies at Cornell University in 2019, they worked as an Undergraduate Teaching Assistant for ECE 2100: Introduction to Circuits for Electrical and Computer Engineers. Jessica was also granted the Engineering Learning Initiatives Undergraduate Research Award for their Energy-Efficient EEG Seizure Detection project proposal and was named a 2019 Intel Undergraduate Research Program Scholar. Jessica is currently working as a Machine Learning Engineer at Common Sense Machines and is also a Graduate Student Researcher at Stanford University School of Medicine - de la Zerda Group.

Jessica Tawade has a comprehensive educational background. Jessica attended William G. Enloe High School from 2012 to 2016, then obtained their Bachelor of Science in Electrical and Computer Engineering from Cornell University between 2016 and 2020. Currently, they are pursuing their Master of Science in Electrical Engineering at Stanford University, which they are expected to complete in 2022.