About Me
I’m a computer science graduate from the University of Washington with a focus on machine learning, data science, and building things that matter.
I’ve always moved quickly. I graduated high school at 16, earned my associate degree at 17, and finished my CS degree at 19. But more than speed, I’ve always cared about solving real problems, learning deeply, and working with great people.
Along the way, I’ve built full-stack tools used by thousands, worked on AI projects, and most recently co-founded FIRY.AI, a conversational AI platform focused on neurological care. I’m especially interested in tech that blends human insight with smart systems, whether in healthcare or beyond.
Outside of work, I’m always learning. From building out home automations and scripting everyday tools to exploring new AI frameworks, design systems, and startup life.
Always happy to connect, whether you’re in tech, healthcare, design, research, or just curious.
Skills
Experience
Co-Founder
Firy AI | May 2024 - Present
Building an AI-powered healthcare assistant that streamlines patient symptom tracking and guided diagnosis through an intelligent, conversational interface.
Skills:
- Leading backend architecture and AI integration to support dynamic, multi-turn conversations between users and the system.
- Developing natural language processing pipelines to extract and refine symptom data across sessions.
- Collaborating with medical professionals to encode domain knowledge into structured logic and LLM-driven workflows.
- Deploying scalable APIs using FastAPI, Firebase, and Docker, with optimized model orchestration using OpenAI, Gemini, and LLaMA.
- Designing persistent user memory systems for real-time longitudinal health guidance and diagnostics.
Software Engineer
Dunn Lumber | March 2023 - Present
Developed systems to reduce customer wait times and improve operational efficiency.
Skills:
- Developed a virtual queuing system utilizing React.js, Python, Git, and AWS to ultimately reduce customer wait times by 28%.
- Automated a notification system using SQL, GraphAPI, and PowerShell to inform staff of returning delivery drivers, resulting in a 14-minute decrease between driver arrival and departure from the warehouse.
- Engineered an internal site to pull data from SQL to calculate and display supplier information, enabling the sales team to provide accurate lead times for products to customers.
- Drove sales by implementing SQL stored procedures and SSA jobs to export transactional data to market popular products to customers.
- Scripted a program in Python to scrape coordinate data from KML files to ensure that customer addresses reside within growing delivery regions.
Systems Engineer
Station 2 Clinic | September 2023 - Present
Designed and implemented HIPAA-compliant IT infrastructure.
Skills:
- Ensured HIPAA compliance for all IT systems and maintaining stringent data security protocols.
- Developed a website to create a positive initial impact on patients.
- Managing clinic-owned mobile devices, implementing mobile security measures, and providing user training to build a strong rapport with employees.
- Utilizing Azure and Office 365 to create secure but seamless user experiences with tools such as Multifactor Authentication and Single Sign-On.
- Built an enterprise-grade network utilizing the UniFi platform to allow users secure access to the internet.
Certifications
Full Stack Developer
Coursera | June 2023
Comprehensive certification covering full-stack web development technologies and best practices.
Frameworks and Technologies:
- Developed multiple full-stack applications as part of the certification process
- Gained in-depth knowledge of both front-end and back-end technologies
- Learned best practices for deployment and DevOps
Projects
BT Bot
Implemented a full-stack automation system to coordinate and schedule all deliveries for Dunn Lumber Company.
Technologies:
- Applied complex data aggregation strategies to ensure available inventory and apply accurate delivery charges to each order
- Created streamlined workflows to reduce human intervention by an average of 10 minutes per order or 20,000 minutes of employee time per day
Churn Analysis
Applied machine-learning techniques to predict and analyze the rate of churn for 'Contoso'.
Technologies:
- Built a model using random forest to predict customer churn with 90% accuracy
Song Generator
Used neural networks to generate chord progressions in the style of a given song.
Technologies:
- Performed statistical analysis over a dataset of 660,000+ songs to find common chord progressions by artist, genre, and more subsets
- Used machine learning tools such as recurrent neural networks and Markov chains to generate chord progressions in the style of a selected subset (for example, generating a song in the style of Taylor Swift).
Various Websites
Built a few websites along the way for fun! Check out some examples.
Technologies:
Get to Know Me
Beyond my professional life, I'm passionate about technology and its potential to change the world. I enjoy staying up-to-date with the latest advancements in AI and machine learning, often experimenting with new algorithms in my free time.
When I'm not coding, you can find me hiking in the beautiful Pacific Northwest, exploring new coffee shops in Seattle, or volunteering at local tech meetups to help aspiring developers.
I'm always open to connecting with like-minded professionals and discussing innovative ideas. Feel free to reach out if you'd like to chat about technology, career growth, or just grab a coffee!