Eric Zhang

Senior Software Engineer

Apple

Apr 2020 - Current (6 years 5 months)

• Led the design and delivery of an internal LLM-powered copilot for App Store operations, enabling teams to retrieve policy and workflow context, summarize cases, and complete approved actions through a single Al-assisted interface. • Implemented agent workflows and tool-calling services in Python and FastAPI that routed user intents to internal systems, enforced approval gates, and returned structured outputs with full auditability. • Exposed orchestration through REST, GraphQL, and gRPC service contracts for case lookup, permissions checks, workflow execution, and operational actions across multiple backend systems. • Developed React and TypeScript interfaces for prompt entry, action previews, approval flows, and case review, giving non-

Software Engineer

Confluent

Jul 2018 - Apr 2020 (1 year 10 months)

Real-Time ML Pipelines • Developed real-time data pipelines on Kafka that moved events through enrichment, transformation, and scoring stages for intelligent applications and low-latency inference workflows. • Designed stream-processing patterns that supported both offline training-data preparation and online inference inputs, reducing duplication between ML training and production serving paths. • Hardened schema evolution, replay safety, failure recovery, and message contracts so event-driven ML pipelines stayed reliable under high-throughput production traffic. • Integrated Kafka-based streaming infrastructure with backend inference services so downstream applications could consume predictions and decision signals in live event flows. •

Systems Engineer

Visa

Feb 2017 - Jun 2018 (1 year 5 months)

Risk Intelligence Platform • Developed backend services for real-time risk and transaction analysis using Java, Python, REST APIs, PostgreSQL, and Redis, exposing internal endpoints for scoring inputs, decision retrieval, and operational analytics. • Built internal full-stack tooling with React, JavaScript, SQL, and backend API services so ops teams could inspect transaction flows, review risk signals, and debug distributed service behavior. • Improved distributed service reliability across cloud-native environments using Docker, Kubernetes, CI/CD, logging, and monitoring, making payment and scoring services easier to deploy, observe, and recover. • Implemented data-processing and integration paths for payment events using message queues, P

Intern

Visa

May 2016 - Aug 2016 (4 months)

Payment Sandbox Automation • Developed internal sandbox and validation tooling using Python, JavaScript, REST APIs, and SQL to automate test setup, scenario execution, and response inspection for payment service integrations. • Created lightweight internal web tools with HTML/CSS, JavaScript, backend API calls, and reporting scripts so engineers could reproduce failures, inspect payloads, and debug integration issues faster.

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