Resume

 JAI CHAUDHARY 243­253 Livingston Street, Fulton Hall, NY, NY 347­579­7856 ​
jc2855@cornell.edu​
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Website Education Experience 2013­Present 2013­2014 2012­2013 CORNELL TECH Master of Engineering in Computer Science, May 2015 Recipient of Cornell’s Simons Graduate Fellowship Project with Ebay – Topic Extraction for Recommendation Systems Foodbook ​
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Food Journaling by Computer Vision Independent Research Project ​
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Application of Machine Learning to Clinical Decision Support systems, Weill Cornell Medical College, NewYork Presbyterian Current GPA ­ 3.97/4.0 INDIAN INSTITUTE OF TECHNOLOGY DELHI (IITD) Bachelor of Technology Major: Physics, Minor: Computer Science, May 2013 Recipient of Summer Undergraduate Research Award MEDICOTREE Cofounder, Product Manager, Entrepreneurial Engineer Led the team through ideation, market research, product/market fit, infrastructure setup, prototype development and investor pitch. ● Built scalable LAMP server infrastructure through AWS EC2 instance. ● Automated code management and deployment using Git and Bash scripts. ● Mined open­source Medical literature and implemented prototype NLP model using indexed SQL queries behind a Rest API. ● Developed Executive Summary, Pitch Deck and Prototype for investors GULFTALENT.COM Software Engineer As a full­stack developer, engineered cross­platform products like search, authentication, payments and CRM. Using Agile methodology, developed with MVC framework on a LAMP stack. ● Refactored ‘Big­ball­of­mud’ codebase to MVC architecture through a stepwise release process spanning a year. ● Designed and developed Restful API to replace 6000+ lines of shared libraries. ● Halved page load speed through web performance best practices like caching and fixed render­blocking JS/CSS ● Introduced Test Driven Development to automate unit testing and reduce product release delays. ● Coordinated with Business Analysts to analyze user characteristics via advanced DB queries and web analytics to improve product/market fit. CSR plc (a consumer electronics company) Machine Learning Intern Classified a user’s activity as bicycle motion. Estimated position using inertial sensors on a mobile device. A major constraint was to avoid user­specific training and make the product user friendly. ● Applied feature extraction (PCA) to reduce features from hundreds to dozens. New York New Delhi Dubai, UAE Dubai, UAE Delhi, India ● Classified user activity by Random Forests with 95% Recall and 90% Precision ● Estimated position, using a Kalman filter followed by Particle filters ● The particle filter performed exceptionally well and tracked bicycle’s position along curved paths as well as straight roads Skills ● Languages: Java, Python (iPython), SQL, PHP, JS, Bash ● Framework: AngularJS (JS, MV*), Django(Python), Symfony2 (PHP, MVC) ● Software Engineering: Git, Agile/Scrum, TDD, Rest API, AWS EC2, CSS, jQuery, LAMP, Twitter Bootstrap ● Analytics: Mallet (NLP), scikit­learn, pandas, Map­Reduce paradigm , Signal Processing, NumPy(Linear Algebra/ Optimization), Caffe(Computer Vision) Competitions CIMA Global Business Challenge​
, 2012 With 3000+ participant teams from 22 countries, largest U.G consulting competition in the world ● Contributed to a consulting team of 4 working for a fictional U.K based client in T.V industry during a 6 month period ● Prioritized critical issues, Conducted market research & Interviewed experts ● Used financial & business strategy models to make suitable recommendations ● At each stage delivered consulting presentation to a set of judges acting as Board of Directors of client ● Represented India at Global Final held in Sri Lanka competing with 22 nations Awards ● Summer Undergraduate Research Award​
, Industrial Research and Development Center, IITD, 2011–12 ● Best Student Mentor Award​
, Board for Student Welfare, IITD, 2012–13 ● Merit Certificate,​
Distinguished performance (Mathematics, English), Central Board of Secondary Education, 2006­07 Personal ● Online Courses for Professional Development: Machine Learning, Data Science, Algorithms, Web Intelligence and Big data, Linear optimization ● Learning pragmatic programming practices ● Volunteer Teacher for Underprivileged Children, National Service Scheme, February 2011 – March 2011