About
Jarvis - “I seem to do quite well for a stretch, and then at the end of the sentence I say the wrong cranberry.”
I currently work for Amazon Web Services as a Machine Learning Specialist Solutions Architect.
Do check out my recent work at Project-S.
For a PDF copy of my RÉsumÉ, click here to find me on Linkedin.
Jarvis - “I seem to do quite well for a stretch, and then at the end of the sentence I say the wrong cranberry.”
I have supported several NASA initiatives to evaluate the efficiency of NAS operations by designing a Fuel Burn model to estimate flight time, fuel consumption, and flight segment operating costs for all airline flights in the NAS. I was also involved in algorithm design and business logic development of various other NASA projects at Robust Analytics such as a Terminal Area Hidden Markov Risk Model, simulation and modeling of passenger behavior in airport premises, and projects related to the NASA SMART NAS Test Bed (SNTB). Some topics I enjoy working on:
I currently support several customers build and deploy machine learning models at scale that drive business benefits.