Starting August 18, 2014, I’ve been working full-time for LiftIgniter, a Series A-funded company (and Y Combinator alumnus) that uses machine learning technology to help websites and apps with personalizing their on-site recommendations. My role involves a mix of data science, designing and improving machine learning algorithms, writing code, customer support, and coordinating the work of other employees.
Some Quora answers related to what work at the job is like (I’ll update this list as I write more answers):
- My answer to “What is it like to work on machine learning problems in a business setting?”, written November 1, 2014.
Some wikiHow articles I have created as a result of experience I have acquired while working are listed below. All of these were created in my personal capacity, and do not cite or reference anything specific or unique to my job. However, I would not have been interested enough in, or knowledgeable enough about, the topics to write about them if it hadn’t been for my job.
- How to Optimize Your Amazon EC2 Costs
- How to Optimize Your Amazon S3 Costs
- How to Use Amazon EC2 Spot Instances
- How to Use Amazon Route 53
My experience at the job has also helped enhance my interest in other topics around popularity and web metrics that I was anyway interested in, though it is possible I would have written about them anyways. Some articles in this category are:
I had finished my Ph.D. in December 2013. In the interim months, I worked on a number of personal projects, including Cognito Mentoring. I also did contract work for the Machine Intelligence Research Institute and for LiftIgniter.
For more on my work experience and skills, please see my LinkedIn profile.
For more on my daily routine (which is governed in part by my job) see my daily routine page.
For more on my experience working at LiftIgniter and its effects on the rest of my life, see here.