• Improved workflow management experience with the addition of new metrics available to users and improved performance of existing metrics, boosting user engagement with the analytics features by 20% via analysis of PostgreSQL query execution to reduce query times by 95% on log tables with 10s of millions of rows that allowed for live calculation of time series data.• Pioneered an LLM-backed user customization feature using GPT, leading to multiple hackathon wins and inclusion in the product roadmap.• Engineered a configurable charting system enabling quick adjustments to customer dashboards and user customization of experiences and data driven by C# models mapped into React recharts component.

• Delivered high visibility ML-powered real-time search experience handling 100s of searches a second to the retail site with an estimated $150m revenue and $50m profit annually by taking a feature idea through research and analysis, ultimately establishing a cross org collaboration that provided the ML-modeling to a Java service.• Designed & developed multi-experiment ECS Fargate Java service with a CDK-managed full CI/CD pipeline in AWS, supporting 300+ transactions per second with minimal latency across all regions, removing a month of dev time per experimental feature for the team.• Established internal AWS site and ML dataset/model repository to increase data scientist collaboration & expose available datasets to feature teams across organizations. Site is loosely based on Kaggle using Next.js backed by python functions in AWS Lambda & an S3 repository for dataset + model standardization (Coco, YOLO, Pascal VOC).

• Architected and developed core data retrieval for application to support network drop-out and low bandwidth areas, ensuring nurses received/sent all updates once their systems were online again.• Negotiated with service team and product owner to address technical debt accrued during initial launch timeframe to support upcoming features, improving rendering time by 60% and reducing battery drain.• Orchestrated Lunch & Learns on topics such as React best practices, functional programming, and test driven development, promoting collaboration between teams.

• Created real-time server-based custom quoting system with combination of F# backend and caching of database lookups.• Modernized initial Knockout prototype app with React/Redux rewrite, removing race conditions and establishing 80% test coverage, saving months of development time on subsequent new features and reduction in bugs.• Enabled development of front-end features separately from API development and decreased time to launch for new features by 40% via implementation of HATEOAS links for new RESTful API.

• Designed & developed OAuth2 based SSO system for customers to manage users and roles using IdentityServer2.• Incorporated perfect forward security into payment system to reduce impact of any security breaches.• Headed user interface redesign using AngularJS for a single page application with an ASP.NET Web API back end, increasing user engagement by 50%.

• Partnered with stakeholders to design & develop a corporate video platform and build utilities (Excel file generation,APIs, Scheduled Tasks) to speed up development times for projects across the team.

Headed semi-weekly labs where I helped students with their assignments and graded their final results.