• Led development of automated credit pull API to replace manual credit pulls; Designed and built using AWS services to ensure secure, event-driven, idempotent pulls leading to 10% reduction in total underwriting time

• Modernized loan reporting process to meet industry standards, unlocking $300m state funding eligibility; Built reporting API, implementing complex third-party business logic and integrating AWS and CRM for automation

• Strengthened DevOps practices, initiating use of Docker and CircleCI to automate testing, building, and deployment of containerized code; Reduced average build time by 40%, achieved more robust, reliable code

• Introduced infrastructure as code practices using Terraform Cloud; Provisioned, Managed AWS infrastructure, reducing human error by 30% and decreased overall development time

• Quickly cultivated comprehensive knowledge of internal codebase; authored detailed documentation, wrote unit tests, and served as point person for debugging APIs

• Managed junior staff, conducting code reviews and providing mentorship on code quality standards

• Constructed ML models using k-prototypes clustering and elbow optimization to analyze community college student enrollment patterns; results informed design of impactful degree-completion support services

• Conducted impact analyses for non-profit and government clients using propensity score matching; designed comprehensive classification method for tracking student dropout and reengagement across Chicago Public Schools.

Oversaw program reporting and evaluation (quantitative and qualitative) for CUNY College Access and Success programs. Led team of analysts in data collection and reporting; collaborated with program directors on research agendas.