I architected and built the Venmo In-App Commerce Service:

• Designed the system with Hexagonal Architecture principles

• Lead backend development with FastAPI, DynamoDB, and AWS/EKS infrastructure.

My focus is on scalable, reliable partner integrations with external services. I care about writing clean, optimal code, building things that last, and making complex systems understandable for the engineers who come after me.

• Developed and maintained a turbine failure prediction application.

• Designed and developed a multi-engine report generation system (data collection, processing, and frontend implementation), resulting in a 10% increase in client satisfaction.

• Refactored PostgreSQL scripts and data processing code to optimize client-facing pages and report generation, reducing execution time by up to 100 times.

• Gathered client feedback and updated the analysis process and fault models accordingly.

• Mentored and supported new team members, facilitating their adaptation to the team.

• Developed comprehensive Wiki documentation, reducing onboarding time by 50%.

Our stack:

• Backend: Django web framework with PostgreSQL database

• Frontend: JavaScript, Django templates, and HTML

• Hosting: AWS Cloud

• CI/CD: Azure pipelines

• Monitoring: AppDynamics

• Developed APIs for GraphQL and unit tests using Golang.

• Implemented goroutines to handle background tasks for notification and email processing.

• Optimized high-traffic APIs using the Dataloader library to batch and cache requests efficiently, achieving an average 10x performance improvement.

• Developed application sections (functionality, DB storage, cloud deployment) and unit tests using Golang.

• Located, grouped, and filtered places on maps depending on geocoordinates using PostGIS. Improved search results by 50%.

• Used Golang routines to perform a search, reduced execution time by 3 times.

• Reviewed ML Engineer Python code, reduced execution time by 7 times using parallel processes and bulk data insertion.

• Developed and managed CI/CD pipeline, Kubernetes pods health (DigitalOcean), DB backups, and migrations (PostgreSQL).

• Created analytics dashboards for the ML team and leadership (Golang, T-SQL).

• Developed data upload microservice from Kafka to PostgreSQL DB (Golang).

• Designed and developed GraphQL schemas, implemented new API functionality, and created corresponding unit tests.