Cerritos, CA

562-***-****

ac2mkd@r.postjobfree.com

Vivek Reddy

linkedin.com/in/vivek-reddy

Languages: Python, C++, Java

Frameworks/Libraries: Visual Studio, Xcode, IDLE, MATLAB Other: Git/GitHub

Project Experience

• Trained a convolutional neural network using the Imagenet database to identify canine breed given an image of dog as input.

• Used transfer learning with the Resnet50 model to achieve an accuracy score of approximately 70%. • Applied reinforcement learning to build a simulated vehicle navigation agent with limited available inputs

• Used Q-learning algorithm to teach driving agent to drive to the destination while following US traffic laws and avoiding accidents and traffic violations

• Obtained 100% accuracy of avoiding accidents and reaching the destination in the allotted timeframe following training.

• Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.

• Used multiple algorithms and both empirically and theoretically compared and contrasted their results.

• Designed GMM clustering algorithm to identify 2 underlying segments and utilized supervised learner and data visualization techniques to accurately place new values in dataset Charity ML August 2017

• Created a supervised learning algorithm to determine which company members should be targeted as potential donors

• Implemented 3 supervised learning algorithms, evaluated each model, and tuned optimal algorithm

• Determined an accuracy score 4x greater than benchmark predictor with the designed algorithm Work Experience

Promenade Software- Intern Irvine, CA April 2016- May 2016

• Maintained and updated documentation for test protocols and device requirements for class III medical device

• Enhanced UI of company testing software for clients as well as locating and fixing over 20 bugs v

Di Carlo Laboratory – Research Associate Los Angeles, CA September 2014-November 2016

• Conducted project to find the ideal microparticle shape and exposure time to cells that would optimize discernment and manipulation of cell properties

• Documented and presented each phase of the experiment to a group of advisors and peers to communicate results on a weekly basis

• Trained and guided new undergraduate team member over a period of two months Education

• Udacity – Machine Learning Engineer Nanodegree

• University of California, Los Angeles – Computational Biology, B.S. June 2017 – October 2017

December 2016

Honors and Activities

• Bruin Toastmasters – Vice President March 2014 - January 2015

• Student Wellness Commission – Outreach September 2014 – June 2015

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