Lead backend development for an AI-powered drawing app that gives artists control over how AI interprets their work, with a focus on ethical use and to monetize their styles, securing $4.2 million in seed funding.

Architect cost efficient micro-service system for generating images with state-of-the-art image to image diffusion and transformer models, and Svdiff and LoRA model fine-tuning.

Manage machine learning and backend efforts, executing on timelines, writing specs, and mentoring two engineers using an agile, experiment-driven approach to deliver key features.

Implemented CI/CD pipelines in Azure DevOps, improving deployment efficiency and code quality and a customer facing audit solution for admins to monitor user activity

Led cross-team collaborations to propose new designs, securing approval by aligning solutions with existing practices and accepted approaches.

Gained foundational skills in system design, and maintaining large-scale, industry-level infrastructure.