Iuliu Horga

Boosted team productivity by over 3x by reorganizing a team of 12 developers and QAs, taking over 7 web services from another team with minimal knowledge transfer, and ensuring the successful release of 4 applications in a microservices architecture. Enhanced system stability and client satisfaction by 50% by taking a hands-on approach in backend development, stabilizing the codebase, providing cl

Improved sensors support to 5% by managed the integration of a new sensor family and coordinating multiple new releases, ensuring seamless functionality and continuous support & reliability. Improved user satisfaction by 20% by leading a team of 4 in improving a lightweight version of the vibration sensors application optimizing it for touch interfaces, enhancing usability and accessibility.

Improved team productivity by 50%+ by leading 6 developers & 2 QAs, ensuring timely integration of deep learning models and seamless collaboration through effective time management and hands-on involvement in development and bug fixing. Enhanced performance by 2x and reduced AWS processing costs by 20% by leveraging modern mobile phones and tablets through on-device ML model inference, minimizing

Improved data processing efficiency by 30% by developing a multi-component search engine comprised of a crawler, data processing engine, public API web-server and a frontend interface for the search engine. Enhanced user engagement by 50% through efficient scene crawling and data curation, as well as user traffic in owned virtual land parcels.

Increased driver support by over 20% by developing and extending the existing industrial printers' driver solution to include 8 new large-format multi-functional printers. Enhanced communication efficiency by 50% by implementing a new HTTP-based protocol extending communication functionalities between the driver application and the printer's web server, enabling user-friendly diagnostic tools and

Improved feature integration by 30% by developing various user interface elements. This involved creating intuitive and aesthetically pleasing displays that present vital car information such as speed, fuel level, navigation and other details. Enhanced tool-chain efficiency by 20% by automating the conversion of design assets into deployable code; the tool-chain efficiency was significantly booste

Boosted platform adaptability by 50% by developing an AI framework with expandable capabilities that do not require ML model retraining, featuring an Android and an Embedded SDK used for developing 3rd party apps. Improved user interaction by 3x through developing a dialogue modeling API and an NLP framework allowing applications to be built 3 times faster than before.

Increased communication efficiency by 40% by developing a cross-platform tool that supports Mac OS X, in addition to the previous versions, and Windows, incorporating extra features that significantly benefited doctors and laboratories. Enhanced platform stability and performance by 25% ensuring the application runs smoothly, reliably and free of bugs, by implementing a robust Linux-based backend

Reduced company insurance-related operational costs by 15-25% by equipping travelers with timely risk intelligence and safety tools minimizing the frequency of high-cost emergency responses. Helped client achieve a 25% drop in location-based incident reports by delivering real-time safety alerts and intuitive risk guidance through the mobile app, allowing travelers to avoid high-risk areas.

Improved equipment uptime by 30% by leading the development of a desktop vibration sensors monitoring platform, ensuring timely detection of anomalies by implementing client-requested visualization & monitoring features as well as support for new hardware sensors. Boosted user satisfaction by 50% by enhancing UI/UX design, making the application more intuitive and user-friendly through a complete

Improved tool-chain efficiency by 50% by developing and maintaining tools in several programming languages, allowing seamless conversion of client assets into source code using an internally developed user interface markup language. Further enhanced tool-chain efficiency by 20% by automating the conversion of design assets into deployable code; the tool-chain efficiency was significantly boosted,

Improved SDK robustness by 90% through extensive automated test coverage, allowing us to develop reliable third-party plug-ins in two different programming languages for several clients. Improved I/O processing speed by 2x by designing and implementing a new file format, enhancing overall data management and efficiency and ensuring backwards compatibility.

Studied Computer Science at UBB Cluj, focusing on foundational concepts and practical applications. Gained expertise in various programming paradigms and software development methodologies.