I build technology at the intersection of engineering and design: systems that are both technically sophisticated and have thoughtful interfaces.
My work has ranged from embedded sensor networks at MIT Media Lab to visualization tools for Qualcomm's machine learning team to founding Shmood, where I've raised over $600,000 building multimodal AI systems for creative agencies. As a 23-year-old solo founder, I've learned that the hardest problems aren't purely technical. They're about creating interfaces people trust and want in their daily lives.
This started early. I grew up building smart furniture: tables that lit up when someone sat down, paintings that responded to touch. I was never certain where art ended and engineering began, and I still don't draw that line. Whether I'm coding backend systems, designing interfaces, or teaching physics in rural Kenya, I'm interested in one thing: making complex technology feel approachable and useful.
During my freshman summer at MIT Media Lab's Responsive Environments Group, I developed a wireless sensor network for monitoring soil health. I designed compact sensor nodes using ESP32 microcontrollers to capture real-time light, moisture, and temperature data, which was transmitted to a Firebase database. To make this environmental data more accessible, I built an augmented reality visualization in Unity that transformed quantitative metrics into intuitive, interactive visual representations, bridging the gap between raw sensor data and human understanding.
AR Gardening Aid demonstration video
AR avatar overlaid on laptop showing plant type and real-time status
Problem
Gardening is hard. Beginners and young kids lack the intuition to understand what plants need. Light, moisture, and temperature interact in complex ways, and existing tools simply display numbers without context or actionable guidance. This disconnect prevents successful plant growth and limits access to home agriculture.
Insights
The key is translating numbers into something people understand at a glance. Visual metaphors work better than raw data. Mapping sensor readings to avatar behaviors creates immediate understanding. By overlaying digital information directly onto physical plants through AR, I reduced the cognitive load needed to assess plant health. The goal: make invisible environmental factors visible.
Solution
I built a complete system with four components: ESP32 sensor nodes that monitor soil conditions, a Firebase database that aggregates real-time data, a Unity AR app for visualization, and algorithms that translate sensor values into intuitive avatar behaviors. I designed compact, power-efficient systems to keep sensors small and unobtrusive. The system works in household planters and scales to larger agricultural applications.
Complete system flow: ESP32 transmits sensor data via WiFi to Firebase, which feeds Unity AR app that maps data to avatar actions and colors
Hardware design: ESP32 microcontroller with sensors on breadboard (left) and data mapping diagram showing how sensor values translate to avatar behaviors (right)
Three avatar states showing different environmental conditions: (1) Little water/light/low temp = yellow/white joints/watering (2) Too much light/low temp = red/white joints/picking (3) Too much light/high temp/low water = red/red joints/watering
Potential applications: system designed for household planters with scalability to larger indoor farming installations
Takeaway:This taught me that better sensing and interfaces help humans understand data, but I kept wondering about systems that could act on insights independently.
I founded Augwe (using the reseach at MIT Media Lab) to create beautiful designs and experiences that could invoke important conversations. Starting as a voter registration campaign, it evolved into something bigger: AR-linked clothing that reimagines garments as interfaces for amplifying creative voices and social causes. By merging physical and digital worlds, we transformed how people express themselves through what they wear. I built the complete product ecosystem: merchandise, website, iPhone app, and social media presence. The response exceeded expectations: Augwe became a hit on Duke's campus, and Bumble paid us to create scannable merchandise promoting their events. This experience taught me that technical capability means nothing without genuine user adoption. People have to want to invite technology into their lives.
Augwe demonstration video
Augwe brand identity and merchandise on Duke's campus
Problem
Online conversations are static snapshots that don't capture how we actually feel. Fashion and social media existed as separate domains, neither facilitating meaningful in-person dialogue or authentic expression.
Insights
What we wear is already a conversation starter. I saw potential in combining fashion and technology to create a new platform for digital communication that capitalizes on the physical interactions we have with clothing every day.
Solution
We built a complete platform: designed clothing and bags, developed an iPhone app using Unity and Vuforia for image-triggered AR experiences, created a website, and managed social media. When people scanned garments, they unlocked stories and connections. The platform gained traction quickly. Bumble paid us to create scannable hoodies promoting campus events, proving the concept's commercial viability.
Sample customer interaction showing the complete user experience
Brand inspiration and mood board
Augwe merchandise designs featuring AR-enabled clothing and accessories
Augwe website: homepage and team page showcasing the platform and people behind the project
iPhone app interface with AR scanning and social media presence showing community engagement
Bumble collaboration overview
Bumble collaboration: initial design concepts and mockups for scannable event merchandise
Design iterations and variations exploring different visual approaches for campus event promotion
Final designs and production-ready merchandise for Bumble campus events
Takeaway:This taught me that technical capability means nothing if people won't invite the technology into their lives.
For my senior thesis, I researched why teenage girls and artists turn away from engineering, not because they lack ability, but because of how the field is presented. I created Gisty, a design-first subscription service that packages engineering like trendy makeup and clothing brands. Each month, users receive beautifully designed boxes with tools, materials, and QR codes linking to short film-like tutorials. Later, I brought this approach to 60 girls at WISER in Kenya, teaching physics.
Gisty subscription box introduction video
Gisty subscription box designed to make engineering feel approachable and exciting
Problem
Lack of relatable content in engineering tutorials. There's a stigma around what an engineer should look like. Although engineering is fundamentally creative, this aspect isn't highlighted, and many who would develop an interest are left out.
Insights
There's value in simplicity when designing accessible tutorials. Packaging information like trendy consumer brands makes it appealing to people not in tech. Market research and testing on social media showed that shorter videos with trending formats work better.
Solution
Created a subscription service shipping tools and instructions for monthly projects. Each box contains components (Arduino, LEDs, breadboards, wires) and QR codes linking to short film-like tutorials. Boxes are carefully designed in Adobe Illustrator, inspired by clothing and artwork.
Solution overview: YouTube tutorials and subscription service model
Target market: teenagers and their parents
Box designs and printmaking process - each box carefully designed in Adobe Illustrator
Prototype subscription box with engineering components and tutorials
Takeaway:This taught me that how we communicate technology matters as much as what we build.
My first job after Duke was at Scenery, a startup building real-time in-browser video editing, later acquired by Adobe. As the youngest member of a 20-person team, I worked as both a designer and engineer. The team quickly began relying on me to bridge gaps between technical and creative sides. I built design systems in Figma and led two major product initiatives: redesigning the keyboard shortcuts menu and expanding our titles library.
Project 1: Keyboard Shortcuts Redesign
Problem
We offered numerous keyboard shortcuts but it was difficult for users to find the specific shortcut they were looking for. The existing menu lacked discoverability and efficient browsing capabilities.
Solution
Redesigned the keyboard shortcut menu with search functionality and improved browsing structure. Created an intuitive interface that allows users to quickly find and learn shortcuts, improving editing efficiency.
Success Criteria
Measure increased discoverability through user searches, reduced time to find shortcuts, and improved adoption of keyboard shortcuts in editing workflows.
Keyboard shortcuts menu redesign showing improved organization and search capabilities
Final implementation with categorized shortcuts and search functionality
Project 2: Titles Library Expansion
Problem
Our title library was too limited with not enough options to choose from. We wanted to offer bespoke titles with customization flexibility (colors, fonts, positioning) while maintaining quality and ease of use.
Solution
Added new bespoke titles to the library and created a custom text title option. Developed a scalable process for creating high-quality titles with full customization capabilities including text, colors, fonts, and positioning.
Success Criteria
Track usage of custom text vs bespoke titles, measure retention of users utilizing titles, analyze which specific titles are most popular, and gather qualitative feedback on title selection quality.
Project planning and success criteria for titles library expansion
Titles library interface with browsing and customization options for text, fonts, and positioning
Takeaway:This experience showed me that my ability to translate between disciplines was rare and valuable, and that there was an opportunity to use AI to solve communication problems in creative work at scale.
05
Shmood
FounderAI AgentsRAG ArchitectureMultimodal AIJavaScriptReactNext.jsAWSBackendProduct StrategyFundraisingTeam Building
As a solo founder, I raised over $600,000 and hired a team of engineers and designers from Apple and Palantir, including Cornell alumni and my previous manager. Drawing on my experience building intuitive interfaces for complex systems, we focused on a problem I had experienced repeatedly: creative agencies struggled to gather clear, structured feedback from clients about creative work. We built a platform that used AI agents to help clients articulate design critiques. Our system analyzed conversations and designs, prompted clarifying questions, and automatically synthesized feedback into reports using Retrieval-Augmented Generation (RAG). The technical challenge was managing large amounts of data and maintaining low latency while keeping costs manageable.
Shmood platform overview and demo
Problem
Design agencies struggled to gather clear feedback from clients about their artistic vision. Clients couldn't articulate their preferences precisely, leading to endless revision cycles. Designers needed better tools to understand what clients actually wanted, not just what they said they wanted. The communication gap cost significant time and money.
Insights
Clients are saturated with software tools, every new platform risks becoming another thing to manage. I learned that AI could bridge the gap between what clients see and what they can articulate, but only if it maintains low latency, minimizes hallucinations, and stays authentic to the creative's actual voice. Technical reliability determines whether creatives will actually adopt it.
Solution
We built AI agents that analyzed designs and client conversations in real-time, asking clarifying questions that helped clients express preferences more precisely. The system automatically synthesized feedback into comprehensive case studies. We also created RAG-based personalized chatbots that maintained authentic voice while providing recommendations. The technical challenge was balancing latency, cost, and hallucination minimization.
Shmood platform interface showing project dashboard and portfolio management for collecting client feedback
Using AI to generate case studies
AI-generated summaries from design feedback
Presenting work and gathering feedback
Mobile interface flow showing complete user journey from project creation to feedback collection
Responsive design system adapting seamlessly across desktop, tablet, and mobile devices
Takeaway:We could analyze text and images, but the contextual richness that shapes human taste was invisible to software. That realization pushed me toward robotics.
I grew up building smart furniture: tables that lit up when someone sat down, paintings that responded to touch. Since early childhood, my parents taught me that my environment was my responsibility. If the trash was full, I took it out. If the living room needed a coffee table, I built one. These projects blend functionality with aesthetic expression, creating objects that bring warmth and intentionality to everyday spaces. I was never certain where art ended and engineering began, and I've come to realize maybe there's no boundary at all.
Collection of paintings exploring color, texture, and abstract forms
Hand-sewn dresses with custom patterns and construction details
Custom clothing designs with unique tailoring and fabric choices
Wall installations and spatial design transforming everyday environments