I am working as a full stack machine learning engineer at Walmart E-commerce. I am working on building next generation spellchecker and related search recommendation. Prior to this, I was working as data scientist at Bank of America where I worked on building cutting edge real-time fraud detection models using deep neural networks and big data for various bank products.
My research areas includes, graph embedding, neural architecture search, fast optimization methods for neural networks.
I am also burning my energy on two side projects, building ML based vision applications for IoT using NVidia Jetson Nano, and building design patterns for machine learning problems.
In my spare time, I grow Cayenne pepper.
Prior to this, I have worked on natural language (NLP) based automated evaluation of text data.
I graduated from North Carolina State University – Raleigh, with a master’s degree in computer science in the Spring of 2016. Prior to this, I completed my bachelor’s degree in electronics and communication engineering.
All of my open source work is published on my GitHub account.
My LinkedIn profile: https://www.linkedin.com/in/ravi-kumar-yadav-535b268/