Greenville-Spartanburg-Anderson, South Carolina Area
I am a software engineer with the proven experience to both produce high-value results and lead teams of professionals from concept to commercially viable software products. Accomplished full stack developer and business leader that adds value at all layers of an organization. I have 15+ years of professional experience developing software across a wide variety of contexts: artificial intelligence, genetic analysis, biomedical research tools, financial wellness, drones, real estate, food and beverage, music education, hospitality, and more. I am passionate about new business opportunities that provide real value to customers. I thrive on learning new technologies and applying them to solve interesting problems. Computer technology has captured my attention ever since I was a toddler (my dad has a picture of me playing with a TRS-80 keyboard beside his desk). My focus gradually shifted from playing video games to programming clones of classics like Dr. Mario and Pacman. Software development really took root while pursuing my PhD in bioinformatics at Georgia Tech. My first script (Perl) reduced 40 manual hours of collecting biological data into 10 minutes. The upward spiral continues...
Collectible creates cutting-edge infrastructure for the future of digital servicing, beginning with timepieces. Our team brings expertise from renowned companies like Oliver and Clarke, Watches of Switzerland, LabelBox, Deloitte, DroneDeploy, DraftKings, and more. Chief architect driving the technical vision and platform direction across Collectible's business. Owning long-term architecture and technical strategy as the platform matures.
Led engineering as Collectible scaled from an early build into a production platform live with Sotheby's Watch Services and ready to onboard additional luxury-brand partners. Set the standards and shipped the platform behind the business.
First engineer at Collectible. Took the company from empty repo to a live, revenue-generating platform serving real customers — owning every architectural decision the company still builds on today.
Labelbox is a collaborative training data platform for artificial intelligence applications. We help enterprises create and manage labeled data at scale so that they can focus on building what their customers want. Planned and led the development of assisted AI-labeling V2 (for our image, video, and medical imagery labeling editors); delivered full-stack with Meta's Segment Anything model in 1.5 months; significant collaboration and stakeholder alignment, mentoring senior engineers, drafting technical designs and building key abstractions that both deliver critical business value and increase velocity. Co-led the design and delivery of a high-performant, rendering library (Canvas API / WebGL) for efficiently and accurately rendering annotations; fully documented and covered with unit tests. Assisted AI framework: principally developed a low-latency (1s), full-stack pipeline for GPU powered, automatic image segmentation. Co-designed raster segmentation labeling and led a small team (3-4 developers) to deliver this capability within the video editor; involved sophisticated IO, asynchronous processing, advanced graphical operations and visualization, UI tooling, performance optimization, and caching. Performed dozens of technical interviews and hiring screens.
Led production of video editor V2 with a completely overhauled UI and virtualized annotation timeline; a decoupled, temporal view model orchestrates several asynchronous data streams to produce a dynamic, synchronized, responsive, resilient, accurate, and performant visualization. Significantly improved data integrity of our optimistic persistence strategy by building a serialized write queue that prevented numerous race conditions at scale. Developed service for instrumenting and profiling UI latency across any chain of events and reporting this via DataDog dashboards. Optimized the image editor performance to support rapidly displaying and interacting with 1000+ annotations (pan, zoom, select, hide, etc). Video labeling: helped develop the first Labelbox video editor complete with a custom video player UI/UX and temporal, interpolated annotation CRUD.
DroneDeploy makes drone operations simple. DroneDeploy is cloud-based drone mapping software that helps businesses solve critical problems, fast. The platform offers a powerful range of products that enables its customers to easily collect and analyze aerial data using any type of drone. The early successes of DroneDeploy have come from solving a range of problems in the agriculture, mining, GIS, and construction industries. The DroneDeploy platform is built to be the easiest, fastest, and most powerful aerial mapping solution available—controlling multiple drones from anywhere, on any device.
Questis is a financial coaching solution that uses certified planners and next generation software to help your employees. It’s unlimited, unbiased, practical and actionable. To learn more, visit www.MyQuestis.com.
I build custom software that makes customers smile, fuels growth, solves hard problems, and increases business efficiency. Specialities include bioinformatic analysis and comparative genomics, database design and implementation, REST / GraphQL APIs, and secure high-performance web / mobile applications.