Justin Patcher User
@justinpatcheruser
Senior software engineer building high-scale distributed systems and AI-powered fraud detection for global products.
What I'm looking for
I’m a Senior Software Engineer with 13+ years of experience specializing in high-scale distributed systems and AI-integrated platforms. At Google, I led end-to-end engineering for Google Pay financial security and YouTube content safety, building high-throughput Java/Python services that reduced fraud losses by 30% and improved moderation accuracy by 50% for billions of users.
I’m known for bridging high-performance backends with data-driven interfaces, especially in GCP and large-scale private cloud environments. At eBay, I directed the backend development of a real-time personalization engine, scaling Node.js and Spark services and increasing cross-sell conversion by 25%—while building streaming ingestion, low-latency RESTful APIs, and stable state management with Redis.
I focus on reliable, observable systems—using Kubernetes/GKE, Terraform, Prometheus, and Grafana—paired with modern AI capabilities like Vertex AI, TensorFlow, and RAG. I also bring a security and compliance mindset (GDPR, HIPAA, SOC 2) and have built risk monitoring, automated pipelines, and AI moderation tooling that scales with global compliance requirements.
Experience
Work history, roles, and key accomplishments
Led end-to-end engineering of Google Pay fraud and YouTube content-safety platforms, architecting high-throughput Java/Python services that reduced fraud losses 30% and increased moderation accuracy 50% for billions of users. Integrated Vertex AI/TensorFlow anomaly detection (<150ms) and built risk monitoring, caching, and observability (Spanner, Redis, Prometheus/Grafana) to improve operational r
Software Engineer (SE2/SE3)
Ebay
Jun 2013 - Jan 2019 (5 years 7 months)
Directed backend development of eBay’s real-time personalization engine, scaling Node.js and Spark on a private cloud to increase cross-sell conversion 25%. Built Kafka-based streaming ingestion and recommendation services, optimizing data/session layers (Redis, Cassandra/MySQL) and reducing service downtime by 20% with Prometheus monitoring.
Assisted development of real-time healthcare data pipelines for IBM Watson using Java and Apache Kafka to accelerate analytics processing. Prepared NLP training datasets in Python, built web dashboards (JavaScript/HTML5), and added JUnit tests to validate hospital data stream integrity.
Education
Degrees, certifications, and relevant coursework
Penn State University
Bachelor of Science in Computer Science, Computer Science
2009 - 2013
Earned a B.S. in Computer Science at Penn State University from 2009 to 2013.
Tech stack
Software and tools used professionally
Apache Spark
Apache Flink
IBM Watson
GitHub
Kubernetes
Jenkins
GitHub Actions
MySQL
PostgreSQL
MongoDB
Cassandra
Google Cloud Spanner
Gmail
Node.js
Next.js
.NET
Material-UI
Web Components
Databricks
Redis
Terraform
Jira
JavaScript
HTML5
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Kafka
ExpressJS
FastAPI
Grafana
Prometheus
OpenStack
Gemini
GraphQL
Elasticsearch
pytest
JUnit
Airflow
SQL
Supabase
Phase
100ms
Increase
Jan
Availability
Location
Authorized to work in
Job categories
Skills
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