- Designed and implemented the alpha backend for conversational AI search, building microservices for personalized product discovery.
- Built a brand asset ingestion pipeline supporting seasonal updates across 30K+ brands for a major app redesign.
- Enabled a new shipping provider in 6 weeks with customs, refunds, and packing-slip support, saving $1.1M annually.
- Developed a Flask backend for an AI look generator using Poshmark APIs and OpenAI image generation, producing 596 looks in a 7-day sprint.
Experience
Backend and platform work at scale
- Reduced daily manual pricing effort from about 5 hours to 45 minutes by automating workflows and optimizing HiveQL queries.
- Built the core price-determination algorithm and Kafka-based microservices for a cloud pharmacy pricing platform.
- Worked with Hadoop and Spark for scalable data processing and built Docker-based CI/CD pipelines for reliable service delivery.
- Established early architecture and coding standards as the first engineer on the team.
- Built RESTful Spring Boot services and RabbitMQ integrations to maintain data consistency between SAP S/4 Cloud and SAP Cloud Platform.
- Developed microservices for Business Partner workflows and related enterprise data integration.
- Created OData services for Business Partner, Product Master Data, and Plant Maintenance domains.
- Migrated a legacy monolith toward a microservice-based architecture to improve scalability and maintainability.
- Authored a proposal that secured $25,000 in NVIDIA Inception funding for an ML recommendation platform.
- Supported beta delivery through testing, hot fixes, and onboarding of developer volunteers.
Skills
Core stack
Java
Python
Spring Boot
Kafka
MongoDB
Microservices
REST APIs
SQL
Postgres
RabbitMQ
Flask
Ruby
Hadoop
Spark
LLM Integration
Prompt Engineering
Git
Agile
Education
Academic background
Arizona State University
Master's in Computer Science