About
Dedicated Engineer with a specialized focus on crafting products with meticulous attention to detail. Proficient in the end-to-end development process, I bring a comprehensive skill set to deliver high-quality and refined solutions.
Work Experience
ABN AMROHybrid
Senior Frontend Engineer - Internet Banking Payments
Web FormulaOnsite
CEO
FreelancerRemote
Skills
Projects
Philips
Engaged in a collaborative thesis project with Philips Research in Eindhoven, the focus of my research centered on devising a comprehensive strategy for patient monitoring outside the hospital environment, specifically in ambulatory settings. Within Philips, a groundbreaking outpatient monitoring kit is in development, comprising a wearable device and a communication hub. This application is designed to effectively track and analyze patient data, ensuring a seamless and reliable means of monitoring patients in non-hospital settings.
Airbus
Engineered a machine learning model employing reinforcement learning techniques to enhance the communication dynamics among aircraft with distinct communication units while in-flight. This innovative development showcases my proficiency in leveraging cutting-edge technologies to optimize communication systems in dynamic and complex aviation environments.
European Space Agency
Designed and implemented a machine learning model tailored for classifying various rocks on the surface of Mars, with a focus on enhancing the precision of Mars rovers' navigation. Notably, the model was optimized to operate efficiently on low-power devices, ensuring that it maintains its effectiveness in predicting rock classifications while conserving energy resources.
Onera Health
Designed and implemented a cloud-based sleep visualization tool capable of efficiently plotting over 8 million sleep data points on the web. This tool excels in maintaining optimal speed without compromising performance, all while ensuring minimal transfer size in kilobytes (kbs). The successful development of this solution highlights my expertise in creating scalable and high-performance applications for data visualization in resource-constrained environments.
Notion S&P 500 Stock Tracker
I built an automated S&P 500 dividend tracker that seamlessly integrates finance and technology, running entirely on Notion, TypeScript, and GitHub Actions. Every month, the script executes a multi-step pipeline: it fetches the latest S&P 500 company list, retrieves stock data from Yahoo Finance, and calculates the number of shares needed per stock to reach a target dividend. The results are dynamically structured into a newly created Notion database and page, ensuring up-to-date insights without manual input. Powered by GitHub Actions, this system runs on autopilot, delivering real-time financial intelligence with zero maintenance.