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Software Engineer Developer

Location:
Buffalo, New York, United States
Posted:
August 25, 2018

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Resume:

Charanya Sudharsanan

ac6swy@r.postjobfree.com 716-***-**** linkedin.com/in/charanyas13 github.com/CharanyaSudharsanan EDUCATION

State University of New York at Buffalo Aug 2017-Dec 2018 Master of Science in Computer Science and Engineering (CGPA: 3.87/4) Coursework: Analysis of Algorithms, Machine Learning, Cryptography, Distributed Systems, Data Visualization.

Anna University, Chennai, Tamil Nadu, India Aug 2011-Apr 2015 Bachelor of Engineering in Computer Science and Engineering (CGPA: 8.16/10) Coursework: Database Management, Computer Architecture, Data Structures, Object Oriented Programming SKILLS

Programming Languages/Web Technologies : Advanced - JAVA, Python, R, HTML, CSS Basic - C++, C, C#, MATLAB, JavaScript, d3.js, react.js

Databases/Framework/ERP : MySQL, SQL Server, Oracle, Hadoop, SAP, SAP ABAP, WebDynpro, Apache Spark

Platforms/Operating Systems : AWS (S3, Lambda, Dynamo DB), SAP NetWeaver, Windows, Linux

Tools/IDE : GIT, Tableau, Rational Rose, Android Studio, RStudio, NetBeans, Eclipse, IntelliJ

Functional Skills/Methodologies : Scrum-Agile Methodology, Software Development Life Cycle, MVC PROFESSIONAL EXPERIENCE

Software Developer, Talking Pictures LLC. Jun 2018 – Jul 2018

Worked as a part time programmer in PixStori Web Application’s Video Export Module version 1.

Developed React forms, integrated it to third party website - Cloudinary using meteor plug-in to upload images.

Performed Image manipulation & video compositing in Cloudinary and exported it from Cloudinary storage to the app. Software Engineer, Tech Mahindra - IT Services, Outsourcing & IT Consulting, India Aug 2015 – Aug 2017

Developed an Advanced Search application on SAP Portal using WebDynpro ABAP to manage Material data for the Client Pratt & Whitney Canada.

Developed, tested and documented Classical/Interactive SAP Reports, Enhancements and forms in SAP ABAP for the Client T.R.W Automotive. (Front End: ABAP, Backend: Oracle)

Successfully created an automatic mail triggering system on delay of critical jobs for the client Nissan.

Created and reviewed technical specifications and worked with the functional team (Finance and MM) to complete object development and testing (Unit Testing).

Project Intern, HCL Info Systems Ltd May 2013 – Jun 2013

Created a Java Swing application to produce a sophisticated GUI for the employees to poll their votes and improved its security by 70%. (Front End: Java, backend: SQL)

PROJECTS

Simplified Amazon Dynamo - A Simplified Amazon Dynamo based replicated key-value storage in Android. (Android, Java) Building a Data Analytics pipeline using Apache Spark - Developed a pipeline to perform multi-class classification on articles from NY Times. Extracted features using MapReduce and performed classification using naïve Bayes and Multilayer Perceptron. (python) Distributed Hash Table - Implemented a peer to peer Distributed Hash Table based on the Chord protocol. (Android) Big Data Analysis and Visualization: Automated data collection from multiple sources (Twitter, NY Times) using the APIs offered, processed the data using Hadoop MapReduce and visualized it using d3.js. (R, Python, d3.js) Fraud Detection - Improved an existing system’s accuracy to detect tampering of cheque images by three fold. (Matlab) Exploratory Data Analytics and Visualization - Extracted tweets on 'Influenza' using twitter API and implemented a choropleth map indicating the frequency of tweets from each state in USA. (R) Group Messenger in Distributed System - Developed a multicast group messenger application with a limit of 5 emulators in android using Java socket programming. Implemented ISIS algorithm for delivery of messages and handled node failures. (Android) Feature Extraction on CelebA Dataset - Implemented a Convolutional Neural network to determine whether the person in a portrait image is wearing glasses or not. (Accuracy = 95.4%, Python) Image Processing Projects (OpenCV, python)

1. Mean Shift Segmentation for clustering similar pixels in an image 2. View Synthesis to estimate the third view of a scene given two views and their ground truth disparities 3. Histogram Equalization to enhance contrast of an Image. VOLUNTEER (Venture Coach at BlackStone Launchpad) Jan 2018 - Present Analyzed various student’s startup projects, conducted market research for their projects and guided them towards developing their ideas.



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