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tktanisha/README.md

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Software Engineering Intern @ WatchGuard Technologies

Backend Engineering • Distributed Systems • Cloud Infrastructure • AWS

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About Me

I’m currently working as a Software Engineering Intern at WatchGuard Technologies, contributing to backend engineering, distributed systems, and cloud infrastructure for WatchGuard Cloud.

My work primarily focuses on large-scale migration initiatives from Azure-based architecture to AWS cloud-native infrastructure, where I contribute to scalable backend services, API migrations, infrastructure integrations, and performance optimization.

I enjoy solving backend scalability challenges, optimizing distributed systems, and understanding how large cloud platforms operate internally.


What I Work On

  • Azure → AWS cloud migration projects
  • Distributed event-driven architectures
  • SNS/SQS fan-out systems
  • Backend API optimization
  • JWT & XSRF security validation
  • Cloud-native backend services
  • Recursive SQL CTE implementations
  • Performance bottleneck optimization
  • Unit testing & production debugging

Tech Stack

Languages & Backend

Cloud & Infrastructure

Tools & Development

Frontend Exposure


Professional Experience

Software Engineering Intern

WatchGuard Technologies | March 2025 – Present

  • Contributing to migration of production-grade WatchGuard Cloud APIs from Azure architecture to AWS cloud-native infrastructure

  • Building scalable backend services using FastAPI and Flask for distributed cloud applications

  • Improved API response times by up to 70% by optimizing high-traffic customer-facing endpoints and reducing Azure-dependent bottlenecks

  • Worked on distributed event-driven architectures using AWS SNS, SQS, Lambda, ECS, API Gateway, and DynamoDB

  • Built unit tests in Python using Pytest with 95%+ code coverage

  • Integrated SonarQube and NewRelic, improving code quality and performance monitoring workflows

  • Contributed to Angular frontend integrations, Swagger/OpenAPI configurations, deployment debugging, and infrastructure troubleshooting across QA, Staging, and Production environments


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