ML Systems & Production AI

Real-time ML feature pipelines, model deployment & governance, staged rollouts, A/B testing, low-latency ML inference

Distributed Systems & Infrastructure

AWS, Kubernetes, Kafka/Kinesis, Snowflake, Apache Iceberg, Trino, Druid, Spring Boot

Languages

Kotlin, Java, Python, SQL, JavaScript

• Lead two teams at SoFi: Fraud Signals (10 SWE) and FROST Data Engineering (3 DE), protecting SoFi Members from bad actors by balancing fraud prevention effectiveness with user experience.
• Established ML model governance including staged rollouts, false positive monitoring, and safety review processes for model changes—practices aligned with responsible AI development and AI safety principles.
• Extensive cross-functional coordination between Fraud, Crypto, Banking, and Member verticals. Launched several new products safely, including SoFi Crypto, SmartCard, SoFi Pay and Instant ACH, while continuing to be the first line of defense for Banking, Credit Card, and Invest product lines.
• Development of real-time ML platform enabling fraud detection across Money, Credit, and Invest products with <100ms latency requirements. Platform provides config-driven feature engineering for fraud models, allowing data science teams to rapidly iterate on ML signals while maintaining safety reviews and staged rollouts.
• Built and scaled Signals team from 6 to 10 engineers over 4 months during charter expansion. Delivered performance feedback and coaching, sponsored several successful promotions, and conducted 50+ technical interviews.

• Core contributor and tech lead for the 2nd generation Financial Services platform. Architected and led development of second-generation Onboarding platform, implementing a concurrent and resilient framework supporting company-wide Member onboarding experiences.
• Authored "FRN" (Financial Resource Name) specification, a URN-like identifier standard adopted globally across SoFi's 100+ microservices for resource identification and authorization.
• Designed and implemented org-wide data pipeline core infrastructure, utilizing AWS Kinesis, S3, and Snowflake.
• Team lead on large user-facing projects such as Samsung Money by SoFi and Personal Loan - Money Bundle. Featured in a blog post by builtin.com.
• Designed and built resilient Webhooks API with which SoFi communicates with Samsung, currently having sent 100M+ messages with 0 dropped.

• OTC Exchange Network (“OTCXN”) is a capital markets infrastructure company using proprietary blockchain technology.
• Full stack development with Java micro-service backend and React.js frontend

• Consult with departments within Analytical Mechanics Associates at NASA to provide both local and online software solutions.
• Use Java, VB, Microsoft SQL to code CRUD application solutions to assist in the research of thermo-protective materials to be used in NASA reentry vehicles.
• Designed and developed relational database application for documenting the decomposition products of aerospace materials being tested under atmospheric reentry conditions.
• Custom UI design built with JavaScript, CSS and HTML enabled NASA engineers with no DB training to customize their own queries, generating reports and data visualizations on demand.
• Presented to NASA administrative staff software capabilities and results of the investigation.
• Check out a PDF of my poster presentation HERE.