Location History:
- Linz, AT (2019 - 2020)
- Vienna, AT (2022)
Company Filing History:
Years Active: 2019-2022
Title: David Leopoldseder: Innovator in Machine Learning and Program Analysis
Introduction
David Leopoldseder is an accomplished inventor based in Linz, Austria, recognized for his significant contributions to the field of machine learning and software optimization. With three patents to his name, David has established a notable career developing advanced techniques that enhance program performance.
Latest Patents
David's latest innovations include two groundbreaking patents. The first is titled "Online Machine Learning Based Compilation," which introduces a method for extracting features from an initial compilation graph derived from source code. This method applies values of optimization parameters to produce various versions of the initial graph, ultimately selecting an optimized compilation graph based on performance metrics.
The second patent, "Simulation-Based Code Duplication," focuses on program analysis by generating an initial control flow graph (CFG) and identifying critical components for optimization. This innovative method simulates duplications of particular program blocks to assess whether they meet preconditions for various optimizations. The outcome includes valuable insights into the efficiencies gained through these duplications.
Career Highlights
David currently works at Oracle International Corporation, a leading technology company known for its software solutions and services. His role allows him to leverage his expertise in the development of machine learning algorithms and code optimization techniques. David's efforts have positioned him as a key contributor within the company, enhancing its software development capabilities.
Collaborations
Throughout his career, David has had the opportunity to collaborate with talented individuals such as Lukas Stadler and Thomas Wuerthinger. These collaborations have resulted in the sharing of ideas and advancements in technology, further pushing the boundaries of innovation in software engineering.
Conclusion
David Leopoldseder stands out as a visionary inventor whose work in machine learning and program analysis has the potential to transform how software is compiled and optimized. His innovative patents contribute significantly to the technological landscape, marking him as an important figure in the industry.