Aarav Wadhwani profile photo

Aarav Wadhwani

Undergraduate Research Assistant at UbiComp Lab and Teaching Assistant at the University of Washington

Machine LearningEmbedded SystemsFull-Stack DevelopmentWearable SensingData EngineeringTechnical Leadership

About

I'm Aarav Wadhwani, a researcher and engineer at the University of Washington currently focused on the intersection of wearable sensing and embedded systems. My journey has been a whirlwind of experiences, from co-founding Questra AI—an edtech platform that reached thousands of students—to building ML pipelines for commodities trading at Macquarie Group. Currently, I'm working at the UbiComp Lab developing gesture recognition for AR/VR and serving as a TA for computer hardware. I’m passionate about using technology to eliminate inefficiency, whether that’s in how students study or how markets are forecasted. I’m always looking to connect with people at the forefront of data science and engineering to turn technical insights into real-world value.

Networking

What I can offer

  • End-to-end ML pipeline development
  • Full-stack web and mobile development
  • Embedded software and PCB design expertise
  • Insights into scaling campus-based startups

Looking for

  • Academic collaboration in wearable sensing
  • Industry experts in Data Science and Engineering
  • Opportunities to scale edtech solutions

Best fit for

Research facultyData science professionalsEdTech foundersHardware engineers

Current Interests

Wearable gesture recognition for AR/VRAI-driven EdTechQuantitative analysis in commodities tradingGenerative AIRobotics

Background

Career

Serial student entrepreneur and engineer who transitioned from founding edtech and medical apps to specialized research in wearable sensing and data science internships at Macquarie Group.

Education

Bachelor of Science in Electrical and Computer Engineering (Minor in Data Science), University of Washington (2023 – 2027)

Achievements

  • Scaled Questra AI to over 3,000 users at the University of Washington
  • Achieved 71% directional accuracy in copper futures prediction at Macquarie Group
  • Secured a virtual deal of $33,000 for CortX in a national competition
  • Dean’s List at University of Washington

Opinions

  • Technology should eliminate 'wasted time' in studying to let students focus on mastering concepts.
  • We must evolve with time while holding onto the true essence of craft, such as digitizing traditional arts.
  • The global nature of work allows insights to travel across time zones to shape real-time decisions.