Germany
I build software products at the intersection of engineering and data. These include Solev, a web and mobile platform that makes solar energy more accessible and financially transparent, and Vilarivo, a UAE property investment app that turns fragmented listings data into clear, comparable investment insights. With Solev, I help homeowners and enterprise clients create digital twins of their solar systems, turning data into yield forecasts, optimal system design, and financial modeling that clarifies the economics. With Vilarivo, I apply the same approach to real estate, aggregating and structuring data so investors can make decisions with actual numbers instead of guesswork. Before founding these products, I combined mechanical engineering with computer science as an embedded software engineer at Magna, and deployed machine learning algorithms for automotive control systems during my doctorate. I’m now looking to bring that same embedded systems, ML, and full-stack product engineering into a full-time role, while continuing to build and support both products.
Solo-founded software company building consumer and B2B products, including a PV yield simulation platform (Solev) and a UAE property investment app (Vilarivo). Solev (PV yield simulation platform): - Founded and engineered Solev, a digital twin and yield prediction platform for balcony solar systems, growing to 1,000+ active users - Built a responsive React web app and a cross-platform React Native app on a shared codebase - Deployed a containerized RESTful API across Linux servers with Cloudflare load balancing and NGINX-terminated SSL - Designed the PostgreSQL schema and implemented email/social auth via Supabase - Integrated Stripe and RevenueCat for subscription management, supporting tiered plans across multiple markets Vilarivo (UAE property investment app): - Founded and engineered Vilarivo, a UAE property investment app aggregating listings for data-driven investment decisions, launched on the App Store - Built a cross-platform React Native mobile app with JWT/refresh-token authentication and push notifications via Firebase Cloud Messaging - Designed a PostgreSQL schema and built infrastructure to automatically aggregate listings from major real estate portals - Integrated RevenueCat for subscription management
Engineered production-ready predictive algorithms to estimate vehicle energy consumption using Python and C++ Modeled and deployed complex control strategies in Matlab/Simulink to improve the drivability and efficiency of electric and conventional vehicles (with dual clutch transmissions) Acted as cross-functional Feature Owner in a project for a new vehicle platform with an E/E zonal controller architecture Successfully published peer-reviewed scientific research while defending a PhD thesis in engineering.
Researched and developed a new hybrid algorithm that combines supervised and reinforcement learning, outperforming existing industry methods in efficiency. Programmed genetic algorithms and reinforcement learning models to fully automate vehicle calibration, replacing time-consuming manual workflows. Built custom Python tools and scripts to clean, merge, and evaluate large sensor datasets from various measurement sources. Tested, calibrated, and optimized embedded software functions to improve vehicle control and drivetrain dynamics for dual-clutch transmissions.
Developed and structured a relational database to systematically store, manage, and track ongoing degree theses for the Institute of Internal Combustion Engines and Automotive Engineering (IVK).
Programmed several internal desktop applications and automation tools using C# for the On-Board Diagnostics (OBD) department to streamline engineering workflows.
Engineered a MATLAB-based software tool for the On-Board Diagnostics (OBD) department to automate the processing and evaluation of high-volume measurement data recorded by engine control units (ECUs).