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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.
Experience
Software Engineer ContractorGranite
Software Engineer InternSOIL Campus
Software EngineerLonghua Hospital
Education
Carnegie Mellon University, Heinz Collegemaster, Information Systems Management (2024)
University of Shanghai for Science and Technologybachelor, Computer Science and Technology (2022)
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
Strongly Recommended
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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