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Tapan Shah

Tapan Shah

Software Engineer.

Seattle, Washington, USA

Coding

About

  • Software Engineer building scalable products across fintech, SaaS, data-intensive applications, cloud-based applications, and distributed systems.

  • Skilled in Java, Python, C#, TypeScript, React, Angular, Node.js, SQL, AWS, Docker, and Kubernetes, with experience across frontend, backend, infrastructure, and production systems.

  • Currently working at PayPal, building and optimizing payment services, APIs, data workflows, and enterprise applications.

  • Previously helped build Calenso, a SaaS scheduling platform used by 100K+* people:

    • Redesigned a multilingual form system across 100+ forms, reducing new form and language development from ~2 weeks to ~2 days.
    • Created in-house reusable UI libraries and shared components used throughout the application, reducing duplication and making features easier to maintain and customize.
    • Built production monitoring and error-notification workflows that automatically surfaced frontend and backend failures to improve maintainability and incident response.
  • I enjoy taking ideas from design and architecture to production, solving complex problems with simple, reusable systems.

    * Peak metrics recorded; actual current figures may vary.

Stack

  • Python
  • Java
  • TypeScript
  • JavaScript
  • C#
  • C++
  • HTML
  • CSS
  • React
  • Tailwind CSS
  • Angular
  • Shell Scripting
  • Node.js
  • Spring Boot
  • Azure
  • Kubernetes
  • Docker
  • Unix/Linux
  • Git
  • Redis
  • PostgreSQL
  • MySQL
  • MongoDB
  • LangChain
  • PyTorch
  • TensorFlow
  • GraphQL
  • Grafana
  • Postman
  • Bitbucket
  • Jira

Experience

PayPal

PayPal

Current Employer
  • Developed backend RESTful APIs for payment wallet integrations, reducing database round trips from 6 to 2 by restructuring service-layer queries.
  • Reduced data retrieval times by 47% for a Python, SQL, and AWS service processing 250K+ records through optimized query patterns and targeted indexing.
  • Improved frontend load times by 38% for enterprise users through lazy loading, bundle splitting, and client-side performance optimizations across React applications.
  • Improved deployment reliability by managing infrastructure with Terraform, containerizing services with Docker, and deploying to Kubernetes through ArgoCD.
  • AWS
  • Kubernetes
  • Docker
  • Terraform
  • ArgoCD
  • SQL
  • Python
  • RESTful APIs
  • JavaScript
  • React
  • Python
  • SQL
  • Apache Spark
  • AWS
  • AWS S3
  • Data Warehousing
  • Data Pipelines
  • C#
  • .NET
  • Angular
  • TypeScript
  • RESTful APIs
  • Jenkins
  • CI/CD
  • SaaS
  • Java
  • RESTful APIs
  • Databases
  • JVM
  • Docker
  • CI/CD
  • Microservices

Education

  • Distributed Systems
  • Advanced Algorithms
  • Cloud Computing
  • Machine Learning
  • Artificial Intelligence
  • Human-Computer Interaction
  • Database Systems
  • Database Management Systems
  • Natural Language Processing
  • Software Engineering
  • Search Engine Technologies
  • Cybersecurity
  • Operating Systems
  • Software Testing

GitHub Activity

Projects(9)

Built an open-source US ZIP code directory with a reusable TypeScript and React architecture, backed by a Python, PostgreSQL and PySpark data pipeline, organized as a monorepo with automated package publishing through GitHub Actions and the NPM registry.

  • Open Source
  • Python
  • PostgreSQL
  • SQL
  • AWS S3
  • PySpark

Certifications(2)

Intermediate Technical Interview Prep

Issued by
CodePath
Issued on

Web Development

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CodePath
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