Varun Vijayaraghavan's Email Addresses & Phone Numbers

Senior Software Engineer @ x.ai From June 2017 to June 2019 (2 years 1 month) Greater New York City AreaBack End Engineer @ x.ai From April 2015 to June 2017 (2 years 3 months) Greater New York City AreaSenior Software Engineer @ Yext Greater New York City AreaTechnical Advisor @ x.ai From April 2014 to April 2015...

Senior Software Engineer @ x.ai From June 2017 to June 2019 (2 years 1 month) Greater New York City AreaBack End Engineer @ x.ai From April 2015 to June 2017 (2 years 3 months) Greater New York City AreaSenior Software Engineer @ Yext Greater New York City AreaTechnical Advisor @ x.ai From April 2014 to April 2015 (1 year 1 month) Greater New York City AreaPrincipal Engineer @ x.ai At x.ai, we're building Amy and Andrew. They are AI driven personal assistants who schedule meetings for you through email.My work here for most part consists of:- building the so-called "Amy / Andrews brain". This is the part of the system which figures out what needs to be _communicated_ to various people in order to move the meeting forward, given a parsed / structured version (as extracted by various ML techniques) of what was said by various people.- more recently, working closely with data scientists, and collaborating to improve the machine learning workflow, building and tracking performance metrics, and help design and build out features for our machine learning models.- spending a significant amount of time managing and coordinating our projects to completion.- maintaining parts of our infrastructure - for ex: mongodb, awsKey tech used / stuff learned: Scala, Functional Programming, JavaScript, NodeJS, Python, MongoDB, AWS, Project Management From June 2019 to October 2019 (5 months) Greater New York City AreaBackend Team Lead @ Outbrain Visual Revenue was acquired by Outbrain, where we continued improving the product. Most of my focus here was related to making the backend more reliable, and leading the backend team of ~4 people (including myself). This was my first foray into managing a team / projects.More specifically:- Continued improving and scaling the existing system- Conducted 1-on-1s with team members, ran weekly planning meetings, and coordinated various projects execution.- Worked with members of Outbrain's tech team in order to integrate the two products.- Completely migrated our systems from AWS to a colo in order to reduce costs- Automated our infrastructure set up and upgrades- Greatly improved our logging and monitoring infrastructure- Initiated migration from MongoDB to Cassandra, and colocation from 1 data-centers to 2 data-centers; both initiatives to improve fault tolerance.Key tech used / stuff learned: Python, Java, Apache Storm, Apache Kafka, Chef, Graphite et al, MongoDB, Cassandra, team / project management From March 2013 to April 2015 (2 years 2 months) Greater New York City AreaFull Stack Engineer @ Visual Revenue Inc At Visual Revenue, we built a real time analytics and recommendation platform for editors of big news companies. I was part of the team that was responsible for building a scalable system to track clicks and page views, and provide recommendations as to which story to put where on the home page for maximum impact.Specifically my work consisted of:a) Building and scaling a massively parallel web-crawler that extracted intelligent information from the pages necessary for our positional recommendation.b) Building an internal admin interface to set publisher specific configuration.c) Scaling our real-time data ingestion and data processing infrastructure to process 200k+ events / secd) Working with teams at the publishers' companies to improve product experienceKey technologies used: Python, Java, JavaScript, Apache Storm, Apache Kafka, jQuery, Bootstrap, MongoDB, AWS, Linux From November 2011 to March 2013 (1 year 5 months) Greater New York City AreaGraduate Student Researcher @ Rutgers University Worked on Speech Processing, Speech Recognition and Speaker Identification. My graduate thesis was work related to a project prototype where we performed authenticated people based on the utterance of a specific set of randomly generated phrases.My work specifically was related to:1. Collecting / building a large corpus to train our speech recognition and speaker recognition models2. Improving existing models for voice based speaker recognition using Gaussian Mixture Models and Expectation Maximization Algorithm3. A statistical end-point detection algorithm for segmenting the random phrases uttered for the both data collection purposes as well as to be used in production.We used Matlab and Perl for the above, which were scripts that were essentially used to call into models and algos libs. From May 2009 to September 2011 (2 years 5 months) New Brunswick, New Jersey