• Developed Flask backend for StyleLab, an AI-powered look generator at PoshFest 2025. Integrated Poshmark APIs and GPT-4 Vision with prompt engineering to generate aesthetic-specific outfit visualizations (e.g., “Modern Romance”). Built real-time voting system. This application generated 596 looks for ~300 participants in a 10-day sprint.

• Enabled a new shipping provider within existing framework in 6 weeks and built specialized features (customs, refunds, packing slips), improving shipping rates for customers and the company, saving $1.1M annually.

• Independently scoped, designed, and implemented a fully automated invoice processing system for a newly added shipping carrier, with 90% test coverage. Integrated reconciliation data into the platform and data warehouse, eliminating manual accounting work and enabling easy audits.

• Onboarded an alternative shipping carrier during the Canada Post strike, restoring Canadian GMV to pre-strike levels and stabilizing shipping operations. Led high-risk MongoDB updates for Canadian User Stats Adjustment, preserving a ~25% boost in key seller metrics.

• Migrated a legacy monolith to a microservice-based architecture using Quarkus framework, improving scalability and maintainability.

• Authored and designed a proposal, securing $25,000 funding from the NVIDIA Inception program for a machine learning-based recommendation system platform.

• Contributed to beta release, performing testing, bug fixes, and hot fixes to ensure platform stability (released May 10, 2023).

• Onboarded and mentored new developer volunteers, helped establishing coding standards and best practices for the team.

• Automated pricing workflows, optimizing queries and reducing manual effort from 5 hours/day to 45 minutes/day, improving team efficiency.

• Built multiple microservices from scratch for a cloud-based pharmacy pricing platform, using Kafka to consume pricing data from upstream and push it to the data lake, creating a scalable, maintainable architecture that enabled future feature expansion.

• Consolidated and processed large-scale pricing data using HiveQL, enabling microservices to consume upstream data reliably and support downstream analytics.

• First engineer on the team, set up the initial architecture, established coding standards, onboarded new engineers, and collaborated with Product, QA, and UAT teams to validate workflows and ensure smooth, reliable feature rollout.

• Developed Enterprise Search models for Plant Maintenance in SAP S/4 Cloud, helping users quickly find and act on maintenance data.

• Built RESTful services using Spring Boot and RabbitMQ to keep data consistent between SAP S/4 Cloud and SAP Cloud Platform.