EDUCATION

Master of Science, Computer Science (GPA: 3.7/4.0) Dec 2017

The University of Texas at Dallas, Richardson - TX.

TECHNICAL SKILLS

Programming Languages : Java, C++, C#, MIPS, Scala, MATLAB, Python.

Big Data Technologies : Hadoop, MapReduce, Pig, Hive, Spark, HBase, Apache, Apache Cassandra

Frameworks & Scripting Languages : HTML5, CSS, JavaScript, node.js, Angular, AJAX, XML, .Net, Django

Databases : MySQL, PostgreSQL, MS SQL.

Platforms and repositories : Windows, Linux, ANKH Svn, Tortoise, VSS, TFS

Development Tools: : Eclipse, NetBeans, Matlab, UML, GitHub, Tomcat 8, Visual Studio

EXPERIENCE

AMADA R&D Inc. ASI – Senior Application Developer: (Object Oriented Design and development) Jul 2011 – Dec 2015

DailyJournal (Java Spring MVC, Java/J2EE framework):

Developed a schedule manager which allows the employee to set goals and to record day to day tasks that sync with the cloud which monitors the work hours and the productivity of the employee.

Sheet Designer – BlankCAM (Oct 11 - Dec 13):

Involved in the development of CAD/CAM application for sheet metal processing Laser machines.

Developed various full-stack Windows applications using C++ for backend and C#.net for the frontend.

WeldCAM (Jan 13 - Dec 15): An automation software for CAM that aids during welding processes

Three dimensional rendering of various geometrical shapes and objects using API kernels in a viewer using C# to create a visualization of welding process that takes place on factory work floor.

ACADEMIC PROJECTS

Library Management System (Angular.js, NodeJS, Express, JavaScript, PostgreSQL) Summer 2016

Designed & developed a web-based library management application which runs on Node platform using Express framework having PostgreSQL as database with waterline adapter (ORM for Node.js) and Angular for front.

Pacman AI (Python, IDE: PyCharm) Fall 2016

Created an AI for Pacman which can avoid ghosts and eat the food pellets using Inference and Observation, maze solving and getting a high score through advanced heuristics and various search algorithms such as A*, Expectimax, minimax, alpha-beta pruning in python.

Activity Recommendation System based on Weather Prediction (Spark Streaming, Machine Learning) Fall 2016

Developed an Activity Recommendation System that predicts the best leisure activity at a given place and date based on the weather conditions such as temperature, precipitation, pressure using various Big data technologies.

Evaluated and implemented various Machine Learning algorithms (Java, IDE: Eclipse) Summer 2016

Derived powerful classifiers and inferred imperfect decision trees using Ada-Boosting and ID3 algorithms.

Client - Server communication using Sockets and Multithreading (Java, IDE: Eclipse) Spring 2016

Developed a java application, which allows clients to exchange messages among them using sockets via a server that supports multiple clients by enhancing synchronization through semaphores.

Implementation of shortest path algorithms (Java, IDE: Eclipse) Spring 2016

Shortest path from a single source can be found by using any of the following 4 algorithms: Breadth First Search traversal, Topological ordering of Directed Acyclic Graph, Dijkstra's and Bellman-Ford algorithms.

These four algorithms are implemented and appropriate efficient algorithm is chosen for optimality.

Database Engine (Java, IDE: Eclipse) Summer 2016

Developed a database engine that is loosely based on SQLite which supports various DDL and DML commands such as Insert, Create, Update, Drop, Select (without joins) and Show.

skp150330@utdallas.edu 7825 McCallum Dallas, TX-75252 SWAROOP K. PYDISETTY

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