Building innovative tools for better surgery.

Teaching Assistant for AI Applications in Information Security (14795) and Introduction to Adversarial ML (14757).

• Compiled user interaction and behavioral data by implementing a data collection system using Python, Ant Design (AntD), and ReactJS to instrument various web applications at scale.

• Utilized the data to identify key user behavior patterns to evaluate usability of various web applications using ML.

• Pioneered an Indirect Workflow project that achieved 80% reduction in supervised staffing administrative burden by implementing workflows using Python, Java, Kotlin, Kubernetes, Docker, GraphQL, ReactJS, Android and CI/CD tools.

• Spearheaded the Autonomous Guided Vehicles project for Returns with projected annual savings of $3.4M by implementing microservices and collaborating with cross-functional teams.

• Enhanced Labor Management functionality by enabling 78% activity mappings from 20% by resolving critical issues and implementing architectural improvements.

• Orchestrated the end-to-end development of a comprehensive staging environment for a Labor Management system to enable seamless stress testing with 85% accuracy during high throughput scenarios.

• Facilitated the successful implementation of the Indirect Activity Stream, providing near-real-time data for a new labor management system (LMS), GoalPost, through utilization of the Outbox Pattern approach with the Brooklin Connector.

• Conducted design reviews and implemented code quality metrics to identify and address defects through enhanced monitoring techniques using Kibana and Datadog.

Worked as a backend software engineer by designing and implementing highly scalable products using Python, FastAPI, Docker and Kubernetes to help associates and supervisors in the warehouses make informed staffing decisions.