Chris Alvino

Chris Alvino is an accomplished professional with a strong background in electrical engineering (signal processing and computer vision) and mathematics.

His expertise spans various engineering challenges such as recommender systems, machine learning, computer vision with a focus on medical image processing and x-ray security imaging, time series analysis, blind source separation, and microphone array processing.

With a knack for algorithm design and development, Chris is proficient in languages like C++, Java, and Scala, often using Matlab or Python for prototyping. He also leverages tools such as Pig, Hive, Spark, and R for statistical exploration.

His specialties include machine learning, classification, image processing, image denoising, mathematical optimization, image segmentation, and 3D visualization.

Chris holds a Ph.D. in Electrical and Computer Engineering from the Georgia Institute of Technology, along with M.S. and B.S. degrees in the same field from Rutgers University.

Throughout his career, he has held key roles at prestigious organizations like Netflix, ipsy, American Science and Engineering, Siemens Corporate Research, and University of Pennsylvania, showcasing his diverse expertise in machine learning, image processing, and algorithm development.