Xilin
Wang

Software Engineer

3+ years building large-scale distributed data platforms, real-time streaming systems, and cloud-native services at Apple. Based in Austin, TX.

View My Work Contact

Years Experience

Backend

& Distributed Systems

Event-driven

Real-time Pipelines

🎮 Gaming🏀 Basketball♠️ Poker🎵 Kpop⛩️ Anime🐯 Born '98 · Year of Tiger✍️ Lefty🤖 Vibe Coding

Expertise

Technical Skills

⟨/⟩

Languages

JavaPythonSQLC++

⚡

Backend & Distributed

Spring BootKafkaFlinkSparkREST APIsDjangoMicroservices

☁

Cloud & DevOps

AWS LambdaAPI GatewayCDKDockerKubernetesGitHub ActionsJenkins

🗄

Databases

Oracle DBSolrCassandraDynamoDBMongoDB

✓

Testing

JUnitTestNGMockitopytestSelenium

🛠

Dev Tools

GitIntelliJVS CodeJiraSwaggerSonarQubePostman

✦

AI Tools

ClaudeChatGPTGitHub CopilotCursorOpenAI API

Career

Work Experience

Apple

via Infosys

Software Engineer

Oct 2023 — Present

Austin, TX

Owned and evolved core Spring Boot backend services and REST APIs supporting high-throughput data synchronization; led migration from Spring Boot 2.x to 3.x.
Built event-driven workflows supporting large-scale data ingestion with Kafka — 17M+ record bulk loads and improved Solr index freshness.
Re-architected a legacy Java migration service into a stateful Flink-based streaming pipeline with checkpointing and restart recovery, reducing end-to-end latency by ~50% and cutting CPU usage by ~90% through improved parallelism, backpressure handling, and stateful processing.
Built a unified integration testing framework for Spring Boot services with containerized dependencies and isolated data.
Implemented end-to-end observability using OpenTelemetry and Micrometer, reducing MTTR for production pipelines.
Improved CI/CD with enforced quality gates and staged deployment workflows, reducing production regressions.

Ploomber

Software Engineer Intern

May 2022 — Aug 2022

New York, USA

Designed AWS infrastructure with CDK — reusable stacks, Lambda event-driven functions, and ECS services with autoscaling.
Decomposed a monolithic 30-minute GitHub Actions workflow into 6 parallelized pipelines (~3 min each) across Linux, macOS, Windows.
Deployed Pytest unit and integration suites with isolated test environments, significantly increasing coverage.

Inceptio Technology

Backend Engineer Intern

Jan 2021 — Jun 2021

Shanghai, China

Built high-performance API endpoints with optimized queries, validation, and formatting.
Tuned Kubernetes pods through monitoring for resource efficiency.
Automated QA data workflows with Python, improving data speed and accuracy.

Education