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Schedule Interview NowMy name is Rafał K. and I have over 10 years years of experience in the tech industry. I specialize in the following technologies: SQL, TypeScript, Python, MongoDB, Django, etc.. I hold a degree in , , , . Some of the notable projects I’ve worked on include: Map of cold damage and costs in USA, Public Shopify app for logistics management, Custom analytical visualization of inventory value, Inventory and payout management tool, Custom inventory state visualization, etc.. I am based in Warsaw, Poland. I've successfully completed 10 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
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The interactive map of cold damage costs and heating costs in United States is based on a MongoDB database populated with data scraped from United States Census pages. The map is created in Leaflet.js, with interactive elements managed with D3.js.
The project involved end-to-end creation of a public Shopify app for assisting Shopify store owners in management of their 3PL/warehouse network and order management. The scope of the project was from initial design and mockup to deployment of the application to an Ubuntu server, submission to the Shopify App Store, and subsequent maintenance. The application was built on MERN stack, deployed to an Ubuntu server, and utilized Shopify GraphQL APIs and two other custom APIs to obtain granular data regarding warehouse, inventory and order routes.
The client required a custom solution for analytical visualization of their inventory based on their warehouse API. The visualization is based on data saved and regularly updated in a MongoDB database, based on repeated API calls to the warehouse provider and similar API calls to Shopify store.
The client, owner of several Shopify and FBA stores, requested creation of a comprehensive inventory and payout visualization based on the total value of all of their inventory throughout all of their stores and warehouses. The application, utilizing D3.js for the visualization side and Node + MongoDB for the backend and database respectively, utilizes several APIs of Shopify, Amazon SP-API and different warehouse providers to retrieve inventory numbers and values and update the state of the inventory every day.
The project involved creation of a custom visualization based on inventory statistics retrieved from a warehouse API and saved to a MongoDB database. The visualization allows the user to analyse the status of inventory and look up detailed inventory and order history for individual articles.
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