I'm Sander Kroon, a Senior Full Stack Engineer designing and building AI-powered web apps and dashboards for healthcare and SaaS platforms. I work with C#/.NET Core, Node.js, Python, React, Next.js, and TypeScript to create scalable backends, robust APIs, and intuitive frontends. I've shipped production-grade systems serving tens of thousands of users, deployed on AWS and Azure with auto-scaling and 99.9% uptime, while optimizing cloud costs by around 20%.\n\nI implement AI workflows and data pipelines (LLM, RAG) to automate processes and boost platform intelligence. I optimize performance, CI/CD, and cloud infrastructure, and I collaborate closely with product, design, and engineering teams to deliver secure, maintainable software that enhances user engagement across devices.

I'm Sander Kroon, a Senior Full Stack Engineer designing and building AI-powered web apps and dashboards for healthcare and SaaS platforms. I work with C#/.NET Core, Node.js, Python, React, Next.js, and TypeScript to create scalable backends, robust APIs, and intuitive frontends. I've shipped production-grade systems serving tens of thousands of users, deployed on AWS and Azure with auto-scaling and 99.9% uptime, while optimizing cloud costs by around 20%.\n\nI implement AI workflows and data pipelines (LLM, RAG) to automate processes and boost platform intelligence. I optimize performance, CI/CD, and cloud infrastructure, and I collaborate closely with product, design, and engineering teams to deliver secure, maintainable software that enhances user engagement across devices.

Available to hire

I’m Sander Kroon, a Senior Full Stack Engineer designing and building AI-powered web apps and dashboards for healthcare and SaaS platforms. I work with C#/.NET Core, Node.js, Python, React, Next.js, and TypeScript to create scalable backends, robust APIs, and intuitive frontends. I’ve shipped production-grade systems serving tens of thousands of users, deployed on AWS and Azure with auto-scaling and 99.9% uptime, while optimizing cloud costs by around 20%.\n\nI implement AI workflows and data pipelines (LLM, RAG) to automate processes and boost platform intelligence. I optimize performance, CI/CD, and cloud infrastructure, and I collaborate closely with product, design, and engineering teams to deliver secure, maintainable software that enhances user engagement across devices.

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Experience Level

Expert
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Intermediate
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Language

English
Fluent

Work Experience

Senior Full Stack Engineer at Motopp
April 1, 2024 - February 1, 2026
Designed and developed full-stack web applications using React, Next.js, TypeScript, and C#/.NET Core, serving 50,000 monthly active users. Implemented scalable backend services and REST/GraphQL APIs with Node.js, Express, and .NET Core, supporting real-time data processing with 200ms latency. Built interactive frontend components and dashboards that improved user engagement and retention by 15%. Deployed and managed production services on AWS (Lambda, API Gateway, EventBridge, S3) with auto-scaling and 99.9% uptime, optimizing cloud costs by 20%. Developed data processing workflows supporting AI-driven features and integrations with third-party APIs.
Full Stack Engineer at SevenLab
September 1, 2021 - March 1, 2024
Containerized applications using Docker, enabling consistent environments across development, staging, and production. Optimized applications via code refactoring, database query optimization (PostgreSQL, MySQL), and Redis caching, reducing backend response time by 30%. Contributed to DevOps workflows, CI/CD pipelines, Terraform infrastructure, and automated testing, reducing deployment errors by 40%. Collaborated with product managers, UX designers, and engineering teams to deliver new platform features and improve application performance. Monitored application performance using logging and analytics tools, proactively identifying bottlenecks and improving scalability for high-traffic workloads.
Software Developer at Babylon Health
October 1, 2020 - April 1, 2021
Developed AI-powered web applications and backend services using Node.js and Python, supporting LLM workflows, RAG pipelines, and data analysis tools. Built interactive frontend dashboards and data visualization interfaces with React, Next.js, TypeScript, enabling stakeholders to track KPIs in real time. Integrated machine learning models and third-party APIs, automating tasks and reducing manual work by 25%. Improved application scalability by designing efficient API architectures and optimizing database queries (PostgreSQL), supporting 10,000 concurrent users. Collaborated with engineers and product teams to deploy AI-driven features, improving platform intelligence and user engagement.

Education

Bachelor's Degree in Computer Science at University of Amsterdam
September 1, 2017 - August 1, 2021

Qualifications

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Industry Experience

Software & Internet, Healthcare