Career Profile

Completed Masters in Computer Science from UIC focusing on ML and AI, this Dec 2016 with 3.67 GPA. And Bachelors in CS from VIT, May 2013. Worked as a Full Stack Developer at Zomato and Josh Technology Group for about 3 years, and as machine learning intern over summer 2016.

Education

M. S. in Computer Science

Aug 2015 - Dec 2016
University of Illinois, Chicago
GPA: 3.67/4

B. Tech. in Computer Science

Jul 2009 - May 2013
VIT University, Vellore
GPA: 8.1/10

Experiences

Machine Learning Intern

Jun 2016 - Aug 2016
Zomato, Gurgaon

Worked on personalization in search for zomato users.

Implemented spam detection filters on user reviews, using unsupervised machine learning techniques and fuzzy string matching.

Extracted trending and popular dishes of a restaurant from user reviews using NLP techniques and Convolutional neural network(CNN). Tech Stack: Python, NLTK, Keras

Software Developer

Dec 2014 - Aug 2015
Zomato, Gurgaon

Reduced expenditure on proprietary maps services, by implementing maps infrastructure using OpenStreetMaps running on AWS servers.

Enhanced website’s image rendering process by moving from file based system to AWS S3.

Developed photos upload, menu upload, restaurant details update and more functionalities for zomato users and merchants. Tech: PHP, BackboneJS, Redis, HTML/CSS/Javascript, APIs, Git.

Software Developer

Dec 2012 - Dec 2014
Josh Technology Group, Gurgaon

Developed B2B web product for a Fortune500 automobile company using Ruby on Rails, AngularJS, Redis, Git, AWS.

Product enables communication between employees and dealers, analyse goods delivered and sales, helping manage their resources efficiently throughout USA and Canada.

Projects

Smart Dish Advisor
Based on the ingredients available, and the time constraint(if mentioned), suggests a dish that can be prepared. Implemented in JESS.
Pokemonify your name
Using phonic distance and string distance methods, finds the closest pokemon name, and inserts the username in the appropriate position.
Authorship Identification in Chat Log
The application learns the author's writing style using the characteristics of the text written, and predicts the author of following chat. Used supervised machine learning technique (SVM).

Skills & Proficiency

Python

Full Stack Web Development

Machine Learning

Ruby on Rails

PHP

Javascript & jQuery

Angular

HTML5 & CSS

Achievements

  • Won Vitech Sponsor prize at YHack 2016
  • Stood 2nd in MHacks 8, Detroit
  • Stood 1st in IEEE Programmers League, GraVita’s 2011, VIT tech fest