Kyle Pena

Background

About Kyle Pena

Capable and cross-functional technical leader with detailed knowledge across a wide variety of technical disciplines, and proven ability to deliver results at all levels - from code, to processes and procedures, product design, vision setting, and high-level communications. Experience in both startup environments and corporate environments. Integral to the success of several world-class software solutions, including (but not limited to)- Statistical modeling of large-scale hiring processes for Amazon, used to drive leadership decisions on staffing levels across the org- Detailed analysis and predictive analytics of student success at a regional university, used to place students in appropriately leveled classes- Machine Vision solutions for high-speed, automated inspection of heavy equipment - OCR based systems for document parsing - Candidate to Job matching technology by way of Natural Language Processing (NLP) of Candidate Resumes - Best-of-class neural networks for predicting energy usage in energy markets - Award winning products and user experiences built for or adopted by companies such as Microsoft, Boeing, and AutoTrader Areas of deeper technical expertise include- SKimage, OpenCV, Tensorflow and other related technologies for Machine Vision programming - Optical Flow and SFM - A wide variety of classical (non-neural network based) Machine Vision techniques - Construction of memory-efficient and speedy systems in a variety of programming languages - Database design and modeling, query and index performance tuning Other areas of interest / aptitude include- Graphics / Shader programming - Game programming