Jon Khaykin

Software & Success Engineer Machine Learning/Data Science Enthusiast

About Me

I am currently a Senior Success Engineer at Engagio helping bridge the gap between product & engineering, support, and customer success.

I graduated from UC Berkeley with a major in Cognitive Science (concentration in Computational Modeling and Data Science). I love combining my business, data science, and software engineering skills to solve complex problems for people and businesses. In my free time, I enjoy martial arts, spending time with friends and family, and working on side projects. I am curiously passionate and passionately curious.

Skills & Interests

Python

Data Science

Node.js

Machine Learning

HTML/CSS/JavaScript

Cognitive Science

Experience

Smartphage (CITRIS) | Engineering Fellow (Sept. 2016 - Dec. 2016)

  • Built new infrastructure for intelligent BLAST
  • Created machine learning algorithms to predict antibiotic resistance in humans

Pandora | BI Engineering Intern (June 2016 - Aug. 2016)

  • Built out a custom web application that lets the Sales Analytics team push updates to dashboards simply and efficiently
  • Learned Birst and helped create new dashboards
  • Helped validate VP dashboards for company-wide releases
  • Wrote custom BQL expressions

BLUES | ML Research Assistant (Dec. 2015 - June 2016)

  • Chosen by Prof. David Wagner to do research funded by Intel
  • Collected data and wrote machine learning algorithms to teach smartphones how to detect unfamiliar behavior in the case of theft
  • Presented promising findings in May 2016 at Intel Headquarters

WePay | Solutions Engineering Intern (June 2015 - Sept. 2015)

  • Proposed and built out a new, fully functional demo app used by the sales team to demonstrate the API to potential customers
  • Used Ruby on Rails, HTML/CSS/JS, VirtualBox, Vagrant, & Heroku
  • Created industry and competitive analysis reports
  • Helped clean up and maintain Salesforce
Résumé Available Upon Request