CTO and founding member of Citian Executive Team offering innovative, data-driven SaaS platforms to transportation
engineers and planners nationwide to transform traffic safety, equitable mobility, and infrastructure maintenance operations.
Hired and managed an 8-person engineering team responsible for building and maintaining 12 microservices, 6 Next.JS
applications, 6 packages, and an expandable software suite of B2G applications.
Led design and architecture implementation for scalable SaaS B2G enterprise applications.
Successfully led production of software tenants for statewide operations including Utah, Kansas, and District of Columbia processing and integrating over 2.5 million traffic crashes, custom data refinement scripts, and requested customized features.
Established framework and boilerplates for all aspects of technology including frontend, backend, APIs, databases, machine learning endpoints, and authentication for all company products.
Kept the team motivated, engaged, and effective through demanding trials and tight deadlines, delivering on average 25
improvements to our products daily and responding to clients needs with rapid turnaround and high quality results.
Programmed and deployed a web-based measurement extraction tool through converting global LiDAR data into streamable
octree format and serving it into a custom viewer.
Created machine learning pipeline through AWS SageMaker, LightGBM and custom APIs to generate and deploy
easy-to-use machine learning prediction models directly to clients.