Picture of Ramesh Sridharan

About me

I'm an engineering leader, researcher, and educator focusing in the potential of machine learning, data science, and artificial intelligence to improve people's lives.

I'm currently Head of Machine Learning at Vidado (formerly known as Captricity), where I lead a team of machine learning engineers building algorithms to digitize and make sense of data from paper forms and documents.

I'm also involved in a number of teaching and education initiatives, most recently teaching UC Berkeley's introductory data science course, Data 8, with David Wagner in Fall 2018.

You can also find me on github and LinkedIn.

Previous lives

In the not-so-distant past, I completed my PhD in the Medical Vision Group at CSAIL, where I was supervised by Polina Golland. For my PhD, I worked on applications of machine learning and artificial intelligence to problems in medical imaging. I was funded by the NSF Graduate Research Fellowship.

In the more distant past, I was an undergraduate in EECS at UC Berkeley. While I was there I worked with Stan Klein's Visual Processing Lab on signal processing in vision science, and with Dan Garcia and Brian Harvey on a curriculum development project involving parallelism in introductory computer science courses.

Publications

* Indicates equal contribution