Featured Projects
ML Pipeline for Genetic Data
Led development of scalable ML pipeline processing genetic data for 10M+ customers at 23andMe. Reduced processing time by 65% using Python, Metaflow, and AWS.
PythonAWSMetaflowMachine Learning
10M+ Users65% Faster99.99% Uptime
Historical Genomes Project
End-to-end delivery of the Historical Genomes project, leading cross-functional teams and ensuring efficient delivery while maintaining high quality standards.
Project LeadershipPythonAWSCross-functional
On-time DeliveryCross-team Success
Payment Processing System
Developed secure payment processing system at Papaya Pay handling $5M+ annually with 99.99% availability using AWS services.
AWSSecurityPayment ProcessingHigh Availability
$5M+ Processed99.99% Uptime
Microservices Migration
Spearheaded migration to microservices architecture, reducing deployment time by 80% and improving system scalability using Docker and Terraform.
DockerTerraformMicroservicesAWS
80% Faster DeploysImproved Scalability
Experience
23andMe
Software Engineer II
- Architected ML pipelines for 10M+ users
- Built real-time APIs handling 200+ req/min
- Led microservices migration reducing deploy time by 80%
- Delivered Historical Genomes project end-to-end
Papaya Pay
Software Engineer
- Built $5M+ payment processing system
- Enhanced merchant dashboards by 200%
- Optimized system performance and UX
USC
Graduate Researcher
- Designed distributed computing pipelines
- Processed 1TB+ data daily
- Reduced processing time by 50%
Technical Skills
languages
Python95%
TypeScript90%
SQL85%
JavaScript80%
cloud
AWS Lambda90%
ECS85%
EC280%
S390%
SQS85%
devops
Docker90%
Terraform85%
Jenkins80%
CI/CD90%
frameworks
FastAPI90%
Next.js85%
React80%
Django90%
SQLAlchemy85%
packages
Metaflow90%
pandas85%
NumPy80%
scikit-learn90%
PyTorch85%
databases
PostgreSQL90%
Redis85%
MongoDB80%