Driven and intellectually curious scientific software engineer with a broad interest in science and technology and experience in process modeling, machine learning, deep learning and geospatial analysis. I’m passionate about agricultural technology, including robotics and computer vision. I’m a voracious MOOC consumer.

I develop in Python on a daily basis, and have extensive experience in Scala and Clojure. I am proficient in R and Python for scientific analysis (numpy, TensorFlow, scipy, sklearn, pandas), Matlab/Octave.

I have a background in AgTech and statistics. During a previous academic career, I published over 20 peer-reviewed papers related to biology and environmental sciences in both leading field-specific and broad-themed scientific journals.