Experience

Jan 2023 - Present

A production iOS marketplace and social platform for buying, selling, and managing vinyl record collections.

• Founded and shipped Moose Vinyl, taking it from concept to App Store release with ongoing post-launch iterations.
• Designed a modular MVVM codebase in SwiftUI backed by Firebase and Google Cloud Platform, with authentication via Apple/Google/email, real-time data sync, remote config, analytics tracking, and fraud prevention.
• Developed a full-featured marketplace supporting dynamic listings, order tracking, and inventory validation, with integrated Stripe payment processing for both peer-to-peer and wholesale transactions.
• Implemented a social layer with follow/follower graphs, activity feeds, profile navigation, collection sorting and filtering, push notification routing via FCM, and deep linking through Universal Links.
• Architected ingestion pipelines for 150K+ distributor-sourced records, with scheduled updates, advanced filtering, and real-time syncing to power catalog discovery.

Jun 2022 - Jun 2026

Full-stack web and mobile applications across digital banking, payments, and capital markets.

• Built full-stack web and mobile applications for digital banking, payments, and capital markets using OutSystems, JavaScript, HTML, CSS, SQL, and REST APIs, implementing client-side UI, server-side logic, and data integrations.
• Developed core payment workflows, including Zelle, ACH, wire transfers, and Positive Pay, implementing transaction processing, validation logic, and data integrity to model real-world banking operations.
• Managed CI/CD pipelines, promoting code across development, testing, and production environments through automated and manual deployments while performing code validation and regression testing to maintain release stability.
• Supported pre-sales for multi-million dollar enterprise contracts by translating complex fintech products into interactive, data-driven application workflows that showcased technical capabilities to prospective clients.

Jan 2022 - Jun 2022

Data engineering for renewable energy systems.

• Engineered data pipelines to ingest and organize millions of renewable energy data points using Python, Snowflake, and Google Cloud Platform, with AWS S3 for scalable storage and retrieval.
• Automated internal reporting tools to streamline performance tracking across renewable energy systems.