Rina Kim

Selected Works

BMW Adaptive Generative UI

2025 June - 2026 January · BMW Group Technology Office · UX Engineer Intern

Overview

• Developed an adaptive generative UI system for BMW vehicles that dynamically adjusts interface elements based on driver behavior, environmental conditions, and personal preferences.

Key Contributions

• Developed a robust React-based orchestration layer to synchronize real-time telemetry between asynchronous sub-agents and the end-user interface, ensuring seamless human-machine interaction.
• Engineered a modular multi-agent architecture that delegates intensive rendering tasks to specialized sub-agents, eliminating synchronous execution stalls and ensuring high-fidelity, fluid interface responsiveness.

Topics Researched

• Generative AI
• System Design
• LLM

• Layered Architecture Diagram

• GenUI architecture illustrates a tiered synthesis pipeline that orchestrates contextual processing to deliver a real-time adoptive interface.

• Synthesis pipeline that transitions from raw contextual processing to a fluid, high-fidelity adoptive interface.

SmaSH Lab | Proactive Agent

2024 September - 2025 August · Carnegie Mellon University SmaSH Lab · Research Assistant

Overview

• Researched & built a semantic classification pipeline for adaptive multimodal systems that isolates relevant user intent from environmental noise and linguistic variations, achieving >90% response accuracy.

Key Contributions

• NLP pipeline development
• User intent prediction model
• Real-time response generation

Impact

• UX Design
• System Design
• LLM

AI Trend Forecasting Tool

2024 January - 2024 August · Carnegie Mellon University | Surefront · UX Researcher & Developer

Overview

• Built B2B tool designed to bridge the gap between high-level data analytics and creative execution. It leverages real-time data and AI to empower fashion professionals from designers to merchandisers to make informed, proactive decisions.

Key Features

• Dynamic Data Integration: Built to process and visualize real-time growth metrics, search volumes, and month-over-month performance curves.
• Agentic AI Implementation: The Personal Fashion Assistant democratizes data. Instead of digging through three layers of menus to find "shoes in France," a user can simply type: "What footwear is trending in Paris right now?"
• Advanced Analytics & Visualization: Built to process and visualize real-time growth metrics, search volumes, and month-over-month performance curves.

Impact

• 75% Reduction in Research Latency: By consolidating real-time Google Trends APIs and social media scraping into a single HMI, the time required to validate a trend aesthetic against hard search data was reduced from 4 hours of manual cross-referencing to less than 60 seconds of automated dashboard interaction.
• 90% Decrease in Interaction Cost: The implementation of the "Agentic AI Co-pilot" replaced a multi-step filtering process (Average of 12 clicks per query) with a single natural language input, significantly lowering the cognitive load for non-technical stakeholders.
• Trend Velocity Accuracy: The "Month-over-Month" performance curves provide a 42.5% more granular view of trend momentum compared to traditional static quarterly reports.

Emma's Tree

2023 June - 2024 June · The June 19th Project, Personal Project · Designer & Developer

Overview

• I built this tree for my best friend, a med student who wanted greenery without the maintenance stress. Using biomimicry, the tree reacts to environmental changes just like a real tree, functioning as both interactive companion and a functional monitor that won't die.

Key Highlights

• The "Bloom" Effect, Color Transformation: Temperature Sensitive Filament
• Moisture Sensing: Moisture Sensor
• Visual Feedback: LED Indicators
• Growth & Structure: 3D Pen
• Sustainbility: Solar-powered Battery Bank

Design Thinking

• I wanted to design using biomimicry to solve "care fatigue," so I built a synthetic plant that basically lives and reacts right along with Emma. Using temperature-sensitive filaments and environmental sensors, the tree acts as a responsive sensory anchor that mimics the energy of a real plant.
I used natural materials like real moss and a ceramic pot to keep the tech feeling grounded rather than clinical. Emma was a busy med student, so I wanted to give her those restorative nature vibes in a way that's actually durable and emotionally meaningful.