September 2024 - Ongoing
Role
Lead Product Designer
Timeline
March 2021 - May 2021
Tools
Nomad Sculpt, Fusion 360, Rhino 3D, Adobe Illustrator, KeyShot
Teammates
Mechanical Engineers ②
Business Strategists ③
Product Manager ①
Architect ①
Abu Dhabi’s Corniche hosts thousands of daily visitors—walkers, joggers, cyclists, and families. Yet, the absence of safe, inclusive drinking fountains forces reliance on bottled water, contributing to waste and excluding wheelchair users. Traditional fountains often go unused due to hygiene concerns and outdated design.
Delivered to the UAE Ministry of Urban Planning, we designed a UV-sanitized, foot-pedal fountain for Abu Dhabi’s Corniche. Fully accessible and solar-powered, the design inspired plans to install public fountains along the Corniche—offering a scalable solution to eliminate 180,000 plastic bottles annually.
The final design is a fully self-sanitizing, hands-free public drinking fountain created specifically for Abu Dhabi’s Corniche—accessible, sustainable, and grounded in local visual language. With its dual-height sinks, foot-pedal activation, and solar-powered UV sanitation, it offers a safer, more inclusive alternative to bottled water in one of the city’s most visited public spaces.
The design was presented to the UAE Ministry of Urban Planning, where it contributed to early-stage efforts to reintroduce drinking fountains in Abu Dhabi. Our proposal helped shape conversations around sustainable urban hydration and influenced plans to bring more accessible water infrastructure to the Corniche.
I'm incredibly proud of what we achieved—not just as a functional product, but as a rethinking of how public design can serve health, sustainability, and equity all at once.
Massive thanks to Eunseo Bong, Samantha Lau, and Zak Saeed for being thoughtful, talented, and tireless collaborators throughout the process.
Role
Lead Product Designer
Timeline
Ongoing (Prototype completed)
Tools
Figma, Webflow, Python, BeautifulSoup, Selenium, OpenAI API, ZeroWidth LLM, Google Sheets, Notion, Miro, Draw.io, Lucidchart, Postman
Teammates
Software Engineers ②
AI/ML Engineers ②
Business Strategists ③
Product Manager ①
Professionals often collect contacts through events, LinkedIn, or referrals, but struggle to keep them organized, remember context, and follow up in a timely way—existing tools store information but don’t support strategic, actionable networking.
We designed and built an AI-powered tool that helps users collect, organize, and follow up with contacts more efficiently, turning scattered information into clear next steps—creating a 70% reduction in manual effort and a 3x increase in follow-up effectiveness.
Through interviews and usability testing, we found that professionals struggle with disorganization, lost context, and missed opportunities. They need a tool that automates organization and provides strategic insights, not just a static contact list.
We analyzed LinkedIn, internal phone contact organization, Notion, HubSpot, and Airtable—each offered parts of the solution but lacked context-aware follow-ups and AI-driven organization. This revealed a gap for a tool like Linky, built specifically for personal, intelligent networking.
The user journey starts when a contact is captured—through a scan, tap, or manual entry—and Linky immediately enriches the profile with relevant context. From there, the user can easily search, tag, and organize connections without any manual sorting. As career goals evolve, Linky suggests who to follow up with and how, helping users move from collecting contacts to building meaningful, strategic relationships over time.
The system begins when two users initiate a connection via any of the three modes available on the application. That request is sent to AWS, which relays the task to a central database server. The database interfaces with external APIs like LinkedIn, Twitter, and others to fetch relevant contact and contextual information. This enriched data is compiled and returned through AWS in a simplified, digestible format, which is then displayed on the user’s device for seamless, informed networking.
While developing the system, I focused on integrating AI with a custom social media scraping algorithm I developed to surface relevant connections. Using ZeroWidth, I tested how large language models could interpret user goals through prompt engineering, relevance scoring, and AI-generated messaging—creating a smarter, more personalized networking experience.
I started with low-fidelity wireframes to lay out the core flows: capturing a contact, viewing enriched profiles, and receiving AI-driven follow-up suggestions. I focused on minimizing user effort—ensuring that adding a contact took no more than three taps and that smart recommendations felt accessible, not intrusive. These early wireframes helped test navigation logic, screen hierarchy, and how users might search or filter contacts before moving into more detailed visual and interaction design.
Easily navigate between the applications core functionalities through a vibrant interactive elements.
Providing NFC, contact form andID OCR technology, Linky provides you with a one stop shop for however you want to network.
Conveniently store your customized ID in your apple wallet for easy custom information sharing, supplementing existing apple information sharing mechanisms by provising more custom sharing options.
Powered by a custom scraping algorithm and ZeroWidth LLM, receive actionable recommendations for achieving your networking goals most efficiently.
Using our "infinite tag" feature, find any contact you have made in the past through notes, emojis, tags, pictures, date, profession or event.
Customize both the information shared through your virtual ID as well as what your ID looks like to give you a dynamic experience.
We ran usability tests using high-fidelity Figma prototypes with 186 users from our target audience. Each participant was asked to complete tasks such as capturing a new contact, searching for a past connection, and acting on an AI-generated follow-up suggestion. Key insights:
Building Linky has been one of the most rewarding challenges I’ve taken on. Designing a tool that turns something as messy and human as networking into a clear, strategic process forced me to balance technical feasibility with real-world needs. Working at the intersection of product design, AI, and systems thinking pushed me to grow quickly—and made every iteration feel meaningful.
I’m incredibly grateful to have worked alongside an ambitious and thoughtful team. Thank you to Jasmine Meziou, Javier Araiza, Koka Gugunava, Carmen Rodríguez, Facundo Kim, Patrick Jun, and Daniela Guerra for your insight, late nights, and commitment to making Linky real. Presenting our work at the UC Berkeley Haas School of Business as part of a startup incubator was a full-circle moment—it helped validate what we were building and reminded us of the impact this could have beyond the classroom.
As we continue developing Linky, we’re focused on:
1. Expanding AI recommendations with broader datasets
2. Integrating with CRM and calendar tools
3. Launching a public beta to gather deeper user feedback
Grateful for how far we’ve come, and excited about what’s ahead!
Role
Product Designer, System Architect, Field Research Lead
Timeline
August 2022 - Ongoing
Tools
KoboToolbox, Garmin eTrex GPS, OpenStreetMap (OSM), QGIS, PostGIS, Twilio SMS API, RapidPro
Teammates
Community volunteers ③
Refugee informants ②
Humanitarian workers ②
Telecom SMS engineers ①
Burundian refugees moving between Tanzania and Burundi often travel without maps, internet, or verified information—relying on word-of-mouth while navigating dangerous, unmarked routes. This reflects a broader global migration challenge: the absence of reliable, low-tech systems to communicate real-time safety along human migration paths.
We built a geofencing-based SMS alert system for Burundian refugees moving between Tanzania and Burundi—achieving 92% delivery success on feature phones. It serves as a potential replicable model for low-tech, migration-focused communication systems globally.
We conducted 48 interviews with Burundian refugees, 4 focus groups in Nyarugusu camp, and 12 additional interviews with humanitarian workers and volunteers, which helped us uncover communication barriers, route knowledge gaps, and the heavy reliance on word-of-mouth among those migrating across the Tanzania–Burundi corridor.
Due to the widespread ownership of mobile phones—and their existing use during migration for communication and exchanging vital route information—it became clear that phones offered several relevant affordances. The following quotes from refugee interviewees further affirm this insight:
Location zones were created collaboratively using Garmin eTrex devices and verbal mapping from refugee and aid workers. Points were logged, validated, and geofenced using QGIS and PostGIS. To address privacy and security risks:
Refugees and volunteers contributed to mapping safe and danger zones by sharing local route knowledge and GPS waypoints, which I helped translate into structured geofence zones using QGIS.
Through interviews, paper maps, and in-field validation, we collaboratively identified high-risk and aid-rich locations. These became the foundation of our alert system and ensured our mapped zones reflected lived reality on the ground.
Role
AI Education Facilitator– User Research & Engagement Lead
Timeline
March 2021 — April 2021
Tools
Figma, Chimera Painter, Photoshop, Google Slides, Miro
Teammates
ML Engineer (Google AI)
Festival Participants (300+)
Creative Technologists