Jonathan Beaudeau: Accomplished PhD Electrical Engineer; co-founder of Pareto Frontier LLC,

Jonathan possesses a unique combination of skills critical for realtime signal processing and high performance algorithms relevant to multiple tech areas. Also, he demonstrates the following: the ability to conceive a solution to high-level problems and rapidly transition from theory to reality. Whereas other teams may struggle with jumping this gap, Jonathan thrives in it and focuses on producing theoretically sound solutions that are mindful of real-life constraints from the beginning, resulting in novel, highly-efficient high-performing solutions matured under aggressive schedule & budget limits. Jonathan is confident wearing many hats, whether it be as an individual contributor/implementer or as the team lead responsible for driving the overall vision and system architecture, while focusing on most critical project challenges. Jonathan enjoys interfacing with clients to better understand specific product needs and constraints & adept at mentoring/developing team-members technical skill set.

Jonathan has 12+ years experience in advanced FPGA signal processing and high speed design; acuity in realizing ultra low-latency, efficient DSP. Constantly pushing the limits of what is possible in latest technology, closing designs in packed chips with aggressive clock speeds.

He has also 12+ years experience in development & analysis of complex systems; involvement in all stages of projects from initial conception to advanced stage prototype field testing and beyond to production support.

Jonathan has extensive background in wireless communications with a particular (recent) emphasis on advanced RF interference mitigation and single-antenna multi-user-detection.

Jonathan also has extensive research experience related to real-time adaptive/Bayesian methods for high-dimensional problems using multi-agent systems with mobile distributed sensor networks. He developed a complete, viable, multi-agent system for tracking a very large number of targets (~500+) with highly competitive accuracy and efficiency using measurements produced by ultra-low cost sensors.