Recruited by Research & Development to design and implement scalable data solutions for business intelligence, analytics, and emerging AI applications across the organization.

Piloted the launch of an AI Admissions Assistant supporting 3,000 students within six weeks, facilitating the automation of routine tasks traditionally handled by human Admissions Officers.

Spearheaded architecture of a database-native analytics platform in BigQuery, personalizing learning pathways for 300+ employees and reducing costs for 20+ partners by 15%.

Designed an AI-driven application that enabled students to engage in self-paced, bite-sized learning, enhancing accessibility, retention, and skill development across eleven distinct curricula.

Drove development of data pipelines and infrastructure used by three cross-functional teams to modernize automated backend operations for a suite of education platforms.

Promoted within the company to lead progression of permit management and investment portfolio automation with an emphasis on ADU conversions and new construction.

Brought a CRE management system from concept to production with Python, Ruby and React, facilitating a 30% increase in value-add proposition delivery to key markets.

Expedited market segmentation by automating GIS data ingestion for land use analysis with Airflow ETL pipeline tasks, driving pre-construction phases of over 500 builds.

Pre-qualified new construction builds by inscribing floor plan models at optimal placement with PL/pgSQL sampling algorithms, reducing feasibility assessment cost by $3,000 per build.

Unlocked pockets of equity for brokers by optimizing value-add strategies with an algorithm parameterized by ADU laws, catalyzing 300 unit conversions across four six figure contracts.

Recruited by the principal CTO to execute comprehensive CI/CD strategies for Rich Internet Applications in association with clients established in Media Streaming and Healthcare industries.

Streamlined managerial workflows and processes by leading Agile-driven initiatives with Jira and Kanban across four projects, establishing feedback loops for five products in under two weeks.

Scaled sales protocols for pitching pilot programs to major investors by improving domain separation with client-specific CRM modules, serving over 200 vendors across four film genres.

Improved customer relations by integrating sales features with HIPAA-compliant Drupal modules, increasing daily active users by 25% and guaranteeing 100% compliance with federal regulations.

Enhanced user experience across a library of React components by maintaining optimal performance of a Golang API and MongoDB domain layer, increasing user engagement by 35%.

Contracted by the co-founder and CTO to spearhead the integration of sales pipelines with asynchronous architecture to facilitate the automation of commercial plot analysis and brokerage.

Automated the process of scoring development sites by defining key valuation principles of plot usage, contributing to a 45% rise in underutilized real estate discovered across asset classes.

Enhanced lead management for SDRs by compiling a single source of CRE ownership graphs with PostgreSQL and Node.js, scaling links between transactions and assessor records to 10,000 sites.

Accelerated lead analysis by predicting the market value of assemblages with Node.js algorithms and geographically weighted regression, validating 100 leads for each of five SDRs per month.

Increased performance of a GIS data ingestion pipeline by refactoring synchronous Rust architecture using futures, achieving a 12% reduction of runtime degradation.