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Kaustubh Rai

Mid-level Software Engineer specializing in distributed systems and cloud-native microservices

PA, USASoftware Development Intern2 years experienceMid-LevelHealthcare ITRetailE-commerce
ScreenedReferences VerifiedIdentity VerifiedStrongly Recommended

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About

Software engineer with ~2 years at UnitedHealth Group plus CMU coursework/TA experience, spanning backend modernization and cloud-native operations. Worked on migrating a customized open-source EDI system from Python 2 to Python 3 while improving SQLite database traceability via JSON exports, and has hands-on Kubernetes microservices deployment on Azure using Helm, HPA, and Jenkins-based Git-triggered CI/CD. Also built a large-scale real-time ride-hailing simulation using Kafka + Samza with explicit fault-tolerance strategies.

Experience

Software Development InterneParts Services LLC
Teaching Assistant: 15-319/619 Cloud ComputingCarnegie Mellon University
Software EngineerUnitedHealth Group

Education

Carnegie Mellon University – School of Computer Sciencemaster, Software Engineering (Scalable Systems) (2025)
Shiv Nadar Universitybachelor, Computer Science and Engineering (2025)

Key Strengths

  • Modernized legacy backend by migrating an EDI system from Python 2 to Python 3
  • Improved database auditability/traceability by exporting SQLite DB changes to JSON
  • Deployed and scaled microservices on Kubernetes using Helm and HPA (CPU target ~50%)
  • Configured Azure ingress and Azure Front Door for routing/traffic management
  • Built CI/CD automation triggered by Git pushes (Jenkins + GitHub webhooks) with containerized deployments
  • Designed fault-tolerant streaming pipeline using Kafka partitioning and Samza state-store considerations

Reference Highlights

Strongly Recommended
  • Highly adept in Python
  • Exceeded internship expectations (delivered 3–4 projects instead of one)
  • Proactive problem-solving with minimal hand-holding
  • Strong ownership and accountability
  • Able to research independently and propose approaches
  • Iterates on feedback to improve solutions
  • Delivers cohesive, high-quality work
  • Fast execution (completed expected 3–4 month project in 2–3 weeks)
  • Strong learning curve / quick to pick up new technologies
  • Significant impact (reduced API latency by ~70–80%)
  • Works well with team; well-liked
  • Reliable and delivers ahead of deadlines
  • Good person / pleasant to work with

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Contact

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Languages

English

Skills

.NETC#PythonPython 2Python 3JavaGoSpring BootReactive ProgrammingMicroservicesDistributed SystemsCloud ComputingDevOpsKubernetesAzure Kubernetes Service (AKS)