Nithin Haridas [email protected] ♦ (412) 326-5855 ♦ https://www.linkedin.com/in/nithin-haridas-5658321a/

EDUCATION

Carnegie Mellon University School of Computer Science Master of Science in Intelligent Information Systems Language Technologies Institute Selected Coursework: Machine Learning, Search Engines, Natural Language Processing

Pittsburgh,Pennsylvania August 2018-December 2019

National Institute of Technology, Calicut Bachelor of Technology- Computer Science First Class with Distinction GPA: 8.75/10 Kozhikode,India July 2006 - May 2010

Selected Coursework: Data Structures, Algorithms, Compilers, Pattern Recognition, Operating Systems, Databases

SKILLS Web development: AngularJS, React, jQuery, NodeJS, PHP, webpack, gulp, karma, npm, bower, jenkins Mobile development: IOS - Objective-C,Swift, UIKit, Cocos2D,Box2D, Cocoapods

PROFESSIONAL EXPERIENCE Keastone Bangalore, India

Senior Product Developer August 2016 - August 2017

Developed chat and notification systems for IRIIIS ( a productivity application) on web,iOS and android. Delivered concrete product features as a liaison with stakeholders in design and management.

Odinix Inc Bangalore, India

Technical Lead April 2013 - June 2016

Developed TurboMath, a 5 star rated app on iPad that reached 100,000 users and a paid user conversion of 10%. Developed Doxub, a video conferencing application designed for low bandwidth use in all smart mobile devices Integrated flurry analytics and improved onboarding and engagement metrics with A/B test experiments. Implemented application walkthroughs and tutorials that increased onboarding figures by 5 times.

Yahoo India SDC Bangalore, India

Senior Software Engineer July 2010 - March 2013

Improved revenue for Yahoo Mail by 10% ( $20m). Incorporated a rule based system for ad rotation and analytical feedback to weed out low performing ads. Integrated Yahoo Calendar with Yahoo Mail extensively. Redesigned entire ToDos module for Yahoo Calendar. Delivered a redesign in the search module increasing performance by 20% working seamlessly with a new back-end.

ACADEMIC PROJECTS

SayHear

Carnegie Mellon University
Pittsburgh, Pennsylvania

Develop language models to convert natural language request to structured queries. August

2018 - April 2019

Text classification algorithm Kozhikode, India

National Institute of Technology, Calicut
July 2009 - May 2010

Validated soft set theory as a useful methodology for the problem of text classification in information retrieval Incorporated rough set theory based feature reduction and ensuring compatibility Compared to commercial grade text classification systems on a ‘Reuters-21578’ data set and found it competitive. Illustrated ease and efficiency of computations gives it an advantage over SVM and KNN based classifiers.