NASA Frontier Development Lab
Had the opportunity to participate in NASA's applied research accelerator, working on autonomous systems for meteorite detection using deep learning and computer vision.
I'm a software engineer who enjoys working at the intersection of research and real-world applications. From research to AI-powered applications, I'm passionate about solving complex problems with elegant code.
LEARN MOREHad the opportunity to participate in NASA's applied research accelerator, working on autonomous systems for meteorite detection using deep learning and computer vision.
Had the privilege to speak at Bay Area ACT-W 2017 and Deep Learning Summit Asia 2016, and mentor students through Google Summer of Code program.
Contributed to WikiPathways and other bioinformatics tools used by researchers globally for pathway visualization and analysis.
Co-authored several publications in meteorite recovery, machine learning, and biological pathway knowledge systems.
NASA/SETI Institute • Frontier Development Lab
Had the opportunity to work on machine learning approaches for autonomous meteorite detection in desert environments. Developed ensemble models combining traditional computer vision techniques with deep learning to help drones identify meteorites more effectively. Our team published findings in Meteorites and Planetary Society and presented at the 48th Lunar and Planetary Science Conference.
Oxford Journals Publication • Open Source
Contributed to research on capturing the full diversity of pathway knowledge, helping to improve how researchers access and visualize biological data. Worked on developing plugins and tools that have been adopted by the bioinformatics community, which has been incredibly rewarding to see in use by researchers worldwide.
Current Research • Exploring New Applications
Currently exploring how AI can enhance user experiences. I'm particularly interested in building applications that leverage large language models to solve real-world problems. My focus is on practical LLM integration—taking cutting-edge AI capabilities and making them accessible through well-designed applications that serve specific user needs.
Norwegian American Genealogical Center • Funded Research • norwayparishes.com
Architected a sophisticated geospatial platform that brings centuries of Norwegian genealogical history to life through interactive maps. Built advanced filtering systems for jurisdictional hierarchies and implemented custom geocoding for historical properties, enabling researchers to trace family lineages with unprecedented precision. The platform is currently live and being used by genealogical researchers worldwide.
Mental Health Platform • mindmatterscenter.com
Architected a comprehensive mental health platform specializing in culturally-responsive therapy services for Asian-American and BIPOC communities. Built on WordPress foundation with custom React components integration, implementing responsive, component-based architecture optimized for performance across all devices. Engineered seamless WordPress-React hybrid architecture to deliver enhanced interactivity while maintaining content management flexibility and optimal load times.
Full-Stack AI Application
Engineered an intelligent quiz generation system that transforms any document into comprehensive assessments using advanced AI. Features sophisticated document parsing, context-aware question generation, and containerized deployment architecture for enterprise scalability.
Advanced Filtering & Query Systems
Developed sophisticated data processing systems including text-to-SQL expression parsers and customizable filtering modules for enterprise analytics platforms. Built robust query engines using cutting-edge technologies for high-performance data manipulation and visualization.
Open Source Bioinformatics • Google Summer of Code
Developed a revolutionary plugin that connects PathVisio to WikiPathways databases, enabling researchers worldwide to search and browse biological pathways seamlessly. This tool became a standard in the bioinformatics community, used by thousands of researchers for pathway visualization and analysis.
I'm always interested in discussing new projects and opportunities. Whether you're working on research that could benefit from technical implementation, need help with AI applications, or just want to chat about technology—I'd love to hear from you.
Let's build something meaningful together.
SAY HELLO