Consumer Products

 Clear30 is a mobile health app designed to help individuals take a 30-day break from cannabis through a structured, science-based approach. The program integrates behavioral science principles—including cognitive behavioral therapy, mindfulness, and neuroscience—to support users in building healthier habits and gaining clarity around their cannabis use.

 Clear30 offers a personalized experience with daily check-ins, goal tracking, guided reflections, and progress visualization. The app includes an AI-powered coach named Claire, who provides motivational support and behavior change strategies. Users also have access to video journaling, custom affirmations, and a supportive in-app community for shared accountability and encouragement.

 The program is designed to help users overcome common challenges such as anxiety, poor sleep, and low motivation. Many participants report noticeable improvements in mental clarity, focus, and emotional regulation. On average, users reduce their cannabis use by over 70% during the 30-day period, with many continuing to sustain those changes afterward. More statistics about our app can be found in a recent partnership that was done with Harvard: Read the study.

 You can learn more or try the app at clear30.org or on the App Store.

 As part of the Clear30 team, I focused on optimizing the onboarding experience, designing user-centered features, and contributing to the app’s analytics infrastructure. My work involved streamlining the user journey, A/B testing onboarding flows, and analyzing behavioral data to improve engagement and retention, blending engineering, design thinking, and evidence-based psychology to enhance health outcomes through digital tools.

 As part of ENGR 100 at the University of Michigan, I designed and built a foldable electric lap desk to address the lack of available study spaces on campus. The goal was to create a portable work surface that could easily fit inside a backpack and be used anywhere. After researching the market and reviewing existing patents, I found no similar solutions available, which helped guide the direction of the design.

 I combined a range of practical skills to bring the project to life. I tested materials to make sure the desk wouldn’t overheat and selected fire-resistant fabrics for safety. I used sewing techniques to build the insulated base and integrated a low-voltage heating element to provide comfort during colder months. For the top, I applied woodworking skills to create a lightweight but sturdy surface that was both functional and durable. I then used my engineering background to conduct thermal testing and embedded a charging station that could be used to charge any device conveniently.

 Once completed, I presented the final product to a panel of engineering faculty as part of the course’s design review. The project was a hands-on opportunity to apply mechanical design, prototyping, and problem-solving in a way that addressed a real need—while also reinforcing the importance of safety, usability, and originality in early-stage engineering work. Here is the presentation that was used in the panel: View Presentation

 As part of the M-Engin Academy, I designed and programmed a custom alarm clock that activates based on natural sunlight levels, rather than fixed time intervals. The project utilized an Arduino microcontroller and integrated light-dependent resistors (LDRs) from a sensor kit to measure real-time ambient light intensity, quantified in lux. I developed a control algorithm that continuously monitored these lux readings and triggered a wake-up alarm once the surrounding light surpassed a predefined threshold—effectively aligning wake time with natural daylight cycles.

 This project involved sensor calibration, analog-to-digital signal conversion, and the development of energy-efficient polling routines to minimize microcontroller load. By leveraging environmental light as a trigger rather than relying on traditional time-based alarms, the system promotes a more biologically aligned waking experience. The final implementation demonstrated successful hardware-software integration and highlighted the potential for light-responsive automation in personalized wellness technologies.

 FocusUp is a mobile app I've been co-developing that delivers personalized, AI-powered coaching across five key areas: Mind & Learning, Language & Communication, Tech & Digital Skills, Productivity & Career, and Health & Wellness. The app is designed to help users grow in structured, measurable ways through skill-based challenges, smart insights, and progress tracking—guided by an adaptive voice-based AI system.

 We've built FocusUp with a focus on clean user experience, real-time analytics, and a modular skill card system that tailors content to user goals. I've contributed across multiple areas including onboarding design, feature logic, analytics integration, and skill content structuring. Our tech stack includes Swift for development, Superwall for subscription handling, RevenueCat for revenue tracking, Supabase for backend data, and Amplitude for user analytics.

 The app is currently in its final development phase and will be launching soon on iOS. My work on FocusUp has involved close collaboration on product design, data systems, and technical architecture—blending creative direction with engineering execution to bring a scalable, personalized learning platform to life.