Software Engineer Python

Varun Vedantham

+1-929-***-**** • ****************@*****.*** • https://www.linkedin.com/in/varun-vedantham Summary

Resourceful professional with technical experience in Software Development and pursuing courses related to systems for ML and distributed database systems. Currently seeking an internship in Summer 2020. Education

● Master’s in Computer Science 08/2019 – 05/2021

Arizona State University, Tempe, AZ

GPA: 3.56/4

● Bachelor of Technology in Computer Science & Engineering 07/2013 – 05/2017 Vellore Institute of Technology, Chennai, India.

GPA: 8.32/10

Technical Skills

● Languages: C++, Java, Python, SQL

● Web Technologies: HTML, CSS, JavaScript, Angular 7, Node.JS, Express.JS, Bootstrap

● Libraries/Frameworks/Tools: Git, JIRA, MongoDB, Anaconda, Scikit learn, Numpy, SoapUI, Postman Professional Experience

Full Stack Developer 02/2019 – 05/2019

Sumyag Data Sciences – Digital Team

● Designed a scalable core framework for a live million dollar project which is used by the end-users of prominent US brokers.

● Developed RESTful APIs for the framework in Angular 7, Node.js/Express.js and PostgresSQL.

● Refactored site code base to optimize and enhanced application load time by 4x times.

● Worked in Agile and Test Driven development approach, writing unit tests in Jasmine and karma. Software Engineer 08/2017 – 01/2019

HSBC – Data Services CRM

● Responsible for engineering a live CRM solution enabling real-time engagement with over 800 thousand customers, thus reducing the turnaround time of sending product offers from a month to instantaneous offers.

● Engineered the solution predominantly in JavaScript.

● Simulated interactions using Java and behaviour between a web-based data capture tool to a Next best offer decision engine, to conduct a scenario and load testing.

Projects

Similar Image Search and Relevance Feedback 08/2019 – 12/2019

● Implemented an image search algorithm for finding a set of similar images, using local binary pattern and histogram of gradients visual models which are clustered using Locality Sensitive Hashing.

● Developed a personalized PageRank based relevance feedback system to improve results for query-based on relevance and irrelevance feedback from the user.

Glucose levels based Meal Detection 09/2019 – 10/2019

● An attempt to solve a problem from ASU’s Impact Lab where the program detects the intake of meal based on changes in glucose levels of a person.

● Used Sliding Window Statistics (Mean, Standard deviation, Skew and Area under the curve), 3rd Order Polynomial Coefficients and FFT as features to train SVM RBF model with an accuracy of 63%, when compared to the best model in the lab having 72% accuracy.

● Programmed using Python along with the libraries Scikit-learn, Numpy and Pandas. Mass Bus Transit System Management 01/2017 – 05/2017

● Designed a live Tracking and ticketing management system.

● Leveraged MIT App Inventor 2 platform to expedite android app development to develop the tracker app and Java to build live status and ticketing app, due to the necessity of more fine-grained programming.

● Designed backend server using Webapp2 python framework and hosted on Google App Engine.

● Improved performance by implementing memory cache for efficient query time.

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