Architected in Python and ML algorithms for fire prediction based

on academic research. Created an AWS pipeline for processing geospatial, raster and vector. Wrote stepwise calculation stories for a team of developers to rapidly scale efforts. Created product roadmap for improving beyond existing research.

Worked with CTO and CEO of portfolio companies to identify and refine product offerings. Crafted web based sales demonstration to showcase mobility data insights to local and state governments for Camber. Mentored portfolio company developers and data scientists on best architecture and data practices.

Worked with DHS’s Procurement Innovation Lab to make past contract performance more comprehensible, via search, improving acquisition. Researched current usage, and tested new, low-fidelity prototypes with specialists across ten agencies. Developed lightweight AI search algorithms for identifying the most relevant past performance. Developed pricing model and business expansion opportunities.