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Justin patcher

@justinpatcher

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Senior software engineer building high-scale distributed systems and AI-integrated fraud and safety platforms.

Romania

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What I'm looking for

I’m looking to lead backend and AI platform work—high-throughput distributed systems on GCP/Kubernetes—partnering with product and safety teams to ship reliable fraud detection, moderation, and real-time personalization.

I’m a Senior Software Engineer with 12+ years of experience specializing in high-scale distributed systems and AI-integrated platforms. I’ve built fraud detection engines and real-time recommendation systems at Google and eBay, processing massive transaction volumes and driving measurable business impact.

At Google (L5), I led end-to-end engineering for Google Pay financial security and YouTube content safety, architecting high-throughput Java/Python services. My work reduced fraud losses by 30% and improved moderation accuracy by 50%, including real-time anomaly detection with Vertex AI/TensorFlow under 150ms.

I focus on reliability and operational excellence—optimizing persistence and latency (e.g., Google Cloud Spanner and Redis for sub-100ms P99), deploying on Kubernetes/GKE, and building observability with Prometheus and Grafana. I also build AI systems grounded in policy using RAG and support human review workflows, from secure data pipelines to automated testing and CI/CD.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer

Current

Google

Jan 2019 - Present (7 years 4 months)

Led end-to-end engineering of Google Pay financial security and YouTube content safety platforms, architecting high-throughput Java/Python services that reduced fraud losses by 30% and improved moderation accuracy by 50%. Integrated Vertex AI/TensorFlow anomaly detection to flag fraud under 150ms and built risk monitoring, observability, and Kubernetes-based scaling for global traffic.

Java Python REST APIs Vertex AI TensorFlow Google Cloud Spanner Redis Kubernetes Terraform Prometheus

Senior Software Engineer

Ebay

Jun 2013 - Jan 2019 (5 years 7 months)

Directed backend development of eBay’s real-time personalization engine, scaling Node.js and Spark services on a private cloud to increase cross-sell conversion by 25%. Built distributed streaming and ingestion for user affinity scoring, delivered recommendation APIs with sub-50ms latency, and reduced deployment cycle time from two days to under one hour while cutting service downtime by 20%.

Apache Spark Apache Kafka REST APIs React Redis MySQL OpenStack Jenkins

Software Engineer Intern

Ibm

Jan 2012 - Aug 2012 (7 months)

Assisted in development of real-time healthcare data pipelines for IBM Watson using Java and Apache Kafka to accelerate analytics processing. Helped refine NLP capabilities by preparing medical training datasets, applying word-embedding techniques in Python, and building JUnit test coverage for hospital data streams and reporting tools.