I am an engineer, researcher and technical manager with expertise in machine learning, computer vision, geospatial data, crowdsourcing and wireless communications.
From 2014 till 2019, I was at DigitalGlobe (now Maxar) building crowdsourcing algorithms and machine learning models to extract global-scale information from satellite imagery. Since 2019, I have been an independent machine learning consultant with a focus on computer vision applications. In 2020, I co-founded BlueSky Resources with the mission to help industry track and reduce emissions of greenhouse gases and air pollutants.
Broadly speaking, I am interested in exploring the true potential of machine learning in automating difficult tasks, often involving large amounts of data. My consulting work involves working with clients to build end-to-end machine learning solutions for a diverse set of use cases: from aesthetic evaluation of consumer photographs to defect detection in x-rays of printed circuit boards. I am involved in all stages of development: problem statement, training data collection, model design, building and deployment. As CTO of BlueSky Resources, I am pushing the envelope of what is possible in terms of estimating true industrial emissions by aggregating and analyzing noisy and sparse measurements from a variety of sensor platforms including aircraft and satellites.
I have a PhD in Electrical Engineering (Communication Theory and Systems) from the University of California San Diego.