# Stuti Vishwabhan > Founding Product Engineer @ Miracle | MIT Location: San Francisco Bay Area, United States Profile: https://flows.cv/stuti I’m passionate about making intuitive and interactive systems designed to deliver better user experience. ## Work Experience ### Founding Product Engineer @ Miracle Jan 2024 – Present | San Francisco Bay Area Miracle serves as a one-stop shop for clinical trial reporting, enabling sponsors to save 3–4 months in their study timelines. I work at the intersection of product and engineering, where I translate customer pain points into impactful product decisions and code, ensuring our technology drives efficiency in clinical trials. ### Software Engineer @ doc.ai Jan 2021 – Jan 2024 I work as a full-stack software engineer on the Consumer AI team that is building an ad tech platform from the ground up specialized for the pharmaceutical industry. • Rebuilt a responsive registration and sign-up flow from scratch to reduce 50% bounce rate (Tech stack: React, JS) • Led initiative and development for an ontology of > 17,000 health entities to better targeting of campaigns to users by 40% (Tech stack: Python, Clojure) • Led development of programmatic ad targeting to increase ad viewability by 60% (Tech stack: Google Publisher Tag, React, JS) • Designed and implemented business reports for ROI analysis and ad campaign management (Tech stack: PostgreSQL) • Owned end to end product features, analyzed user data, performed design and development enhancements ### Software Engineer Intern @ Apple Jan 2020 – Jan 2020 | Sunnyvale, California, United States • Built end-to-end functionality from backend to UI that allows non-technical users to generate code without coding • Designed the UI by creating detailed wireframes and mock-ups • Built UI elements using React/ Ant Design and coding in TypeScript • Collaborated with designers, gathered user feedback, and added stylistic fixes for better user experience • Wrote UI tests to make the work production-ready • Presented final intern project to Apple’s VP of Technology and got approval on its use for Apple’s Research App ### Strategy Advisory Intern @ PwC Jan 2019 – Jan 2019 | New York, New York, United States • Performed extensive research on user stories, journey maps, and personas to source content for the creation of new tools for a product launch and designed user surveys to capture feedback on the tools • Actively worked towards facilitating multiple white-boarding sessions to capture feedback towards content development across PwC teams and management of over 60,000 users worldwide • Developed UI/UX and business strategy for integrating two distinct PwC teams for the release of a singular product • Created slide decks to share insights gained from user feedback from multiple sessions ### AI & Computing Research Intern @ Ford Motor Company Jan 2018 – Jan 2018 | Palo Alto, California, United States • Trained ML SSD Resnet model on 6500 images to perform object detection/ classification on mechanical hardware • Applied computer vision techniques using fiducial markers and OpenCV library to determine hardware sizes • Performed research on weakly supervised learning techniques to minimize high cost of data labeling • Co-authored and filed patent on ride request evaluation systems • Filed 3 invention disclosures and co-authored 4 publications on applying AI techniques to common driving issues • Won 1st place at Ford Hackathon for co-creating software platform to record car collision details on the Blockchain by designing an end-to-end system and using Ethereum API to interact with the Blockchain record ### Software Engineering Intern @ Barracuda (NYSE: CUDA) Jan 2017 – Jan 2017 | San Francisco Bay Area • Designed an end-to-end system for a threat index score indicating the cyber security threat level • Queried, analyzed, and visualized large data sets using ElasticSearch and HighCharts API • Designed an algorithm to calculate threat score based on queried data and associated multipliers • Created an API for the threat index for use as a microservice using Python Flask • Designed voice AI integration features with CSI by conducting user studies with various company sectors ### Intern in the Information Sciences Department @ Naval Postgraduate School Jan 2015 – Jan 2015 | Monterey, CA - Summer research intern at the Information Sciences Department via the Science and Engineering Apprenticeship Program (SEAP) sponsored by the Department of Navy - Worked with Lexical Link Analysis (LLA), a statistical tool for deep learning system used in Department of Defense (DoD) - Co-created visualizations of big data sets using data driven documents (d3) and JavaScript for manipulating and visualizing LLA data to help Naval analysts and decision makers see the findings from Big Data - Presented research poster to NPS labs. The research was readily incorporated into my mentor’s research reports, publications and demonstrations to Naval research sponsors - Technical Skills learned: JavaScript, d3 ## Education ### Master of Engineering - MEng in Human Computer Interaction Massachusetts Institute of Technology Jan 2020 – Jan 2021 ### Bachelor's degree in Computer Science Massachusetts Institute of Technology Jan 2016 – Jan 2020 ### Presentation High School Jan 2012 – Jan 2016 ## Contact & Social - LinkedIn: https://linkedin.com/in/stutivishwabhan --- Source: https://flows.cv/stuti JSON Resume: https://flows.cv/stuti/resume.json Last updated: 2026-03-20