Eshwar Chandrasekharan

Product Engineer

United States10 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in machine learning and data science applications.
Experience in social media and content distribution strategies.
Strong background in software development and algorithm optimization.

Stackforce AI infers this person is a data-driven professional with expertise in machine learning and software development across various industries.

Contact

eshwar@illinois.edu LinkedIn

Skills

Other Skills

AlgorithmsCC++Data ScienceData StructuresJavaLinuxMachine LearningNatural Language ProcessingPythonWindows

About

I study how technology shapes what people create, curate, and consume online.

Experience

University of illinois at urbana-champaign

Assistant Professor

Jul 2020 – Present · 5 yrs 8 mos

Twitter

Intern - Engineering

May 2018 – Aug 2018 · 3 mos · San Francisco Bay Area

I worked with Twitter's Health ML team, and developed a large-scale computational approach to examine and learn from the landscape of incoming abuse reports on Twitter.

Buzzfeed

Data Science Intern

May 2017 – Aug 2017 · 3 mos · New York

I developed a human-machine collaboration service which informs BuzzFeed’s content distribution strategy on Facebook. I built machine learning models to predict which BuzzFeed links would perform best on certain Facebook pages, and identify which pages to post on for the most content shares.

Georgia institute of technology

Graduate Research Assistant

Aug 2015 – May 2020 · 4 yrs 9 mos

Amazon

Software Development Engineer Intern

May 2013 – Jul 2013 · 2 mos · Bangalore

I worked on automated product opinion summarization of Amazon customer reviews. The goal of my project was to create original content for product web pages in order to improve user experience and search engine optimization.

Amada soft india

Software Engineering Intern

May 2012 – Jul 2012 · 2 mos · Chennai

I worked on number theory and optimized algorithms, in order to develop algorithms for performing multi-precision arithmetic using double representation of floating point numbers.