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Longyang Xu
Junior Full-Stack Software Engineer specializing in cloud microservices and ML-driven products
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About
Backend engineer with hands-on ownership of Python/Flask microservices and recommendation systems across edtech and telecom. Deployed and operated real-time personalization/recommendation platforms on AWS EKS with Jenkins-based CI/CD, GitOps-style declarative configs, and strong observability practices. Has migration experience moving legacy mixed environments to modern containerized Kubernetes and built Kafka pipelines feeding ML services while managing schema evolution.
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Key Strengths
- Owned end-to-end Python/Flask backend services for an education platform (auth, course/user/quiz management, recommendations)
- Designed and implemented hybrid recommendation engine; addressed cold-start with content-based fallback and collaborative filtering for returning users
- Built Kubernetes-based deployments on AWS EKS with Docker, standardized manifests, and production-grade observability (CloudWatch, Prometheus/Grafana)
- Improved incident/root-cause detection by standardizing liveness/readiness probes and implementing structured JSON logging with centralized dashboards
- Planned and supported migration from mixed on-prem/cloud to containerized AWS Kubernetes, including dependency mapping and service readiness work
- Built Kafka streaming pipeline feeding ML/recommendation services; handled schema evolution via CI validation and backward-compatible consumers
Reference Highlights
- Proficient Python backend engineer
- Builds scalable APIs
- Implements secure workflows
- Delivers reliable, production-ready systems
- Built recommendation engine supporting 2k+ users
- Ensured 99.9% system uptime
- Excels at designing and managing complex backend infrastructures
- Strong expertise in scaling services
- Strong at managing distributed workloads
- Ensures system reliability in production
- Performs exceptionally well on real-time data systems
- Hands-on experience designing distributed architectures for high-throughput streams
- Collaborates exceptionally well with teams
- Thrives in fast-paced/startup-style environments
- Proactive communication
- Technical leadership
- Adaptability
- Would be rehired without hesitation
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