Hello there!

I am Raksha Venkatesh Kashyap, a Software Developer, looking for a full-time position in the field of Software Engineering.

Education:

Master's in Software Engineering (Cloud Computing & Virtualization)
Jan 2017 – December 2018
San Jose State University, San Jose, CA

Bachelor of Engineering (Computer Science & Engineering)
June 2011 – May 2015
Visvesvaraya Technological University, Bangalore, India

Relevant Course Work:


Data Structures, Object Oriented Programming, Software Systems Engineering, Enterprise Software Platforms, Enterprise Distributed Systems, Cloud Technologies, Web UI Design and Development, Data Science, Design Patterns

ACADEMIC PROJECTS

Multi-Tenant Online Pizza Ordering System
• Productively designed and developed a Web application that supports multi-tenancy by implementing a common cart for the group. • Successfully implemented Quorum Consensus and developed micro services providing a CI/CD pipeline using Docker. Technologies used: Sockets.IO, AngularJS, HTML, CSS, MongoDB, Redis, Golang, Amazon AWS EC2, Docker Cloud, Docker Stacks

Identifying Diabetic Retinopathy – An Image Classifier
• Successfully designed and implemented an Image Classification and Machine learning application to identify the level of Diabetic Retinopathy (DR) from level 0(No DR) to level 4(Proliferative DR) result based on classifying Retina images after training the model. Technologies used: Python Flask, HTML5, Scikit-Learn, Pandas, NumPy, OpenCV, Keras, Tensorflow, SciPy, Python


WorkOut Buddy
• Creatively designed and developed a Web Application to help users find friendly company for their work-out sessions or any outdoor sessions based on their location, interests and fitness level. Technologies used: MEAN Stack, HTML, CSS, jQuery UI, Socket.IO


Parser for Java code to output UML Class Diagram and UML Sequence Diagram
• Successfully designed and implemented a Reverse Engineering project built to output a UML Class diagram or a UML Sequence diagram from the input Java code. Technologies used: Eclipse IDE, Java, JavaParser, PlantUML


ChatBot in Slack
• Successfully developed a multi-user ChatBot using Slack API with LRU caching ability to remember the highly-used responses by the chatbot and also uses the emoticons for responses accordingly. Technologies used: Visual Studio Code, Python 2.7, Natural Language Toolkit, MySQL, Amazon RDS


Weather ChatBot using an IoT Sensor
• Successfully developed a ChatBot which gives information about surrounding weather conditions using an IoT Sensor device by Texas Instruments. Additionally, the application sends alert through Email to the user as the weather conditions exceed the desired level. Technologies used: TI CC2650 IoT sensor, IBM Bluemix Services – Node-RED, Watson IoT Platform, dashDB and Watson Conversation