Software Developer Engineer

RITHIKA MAMIDI

Email: ********@***.*** Phone: 480-***-**** https://www.linkedin.com/in/rithika-mamidi-a504a2148/ SUMMARY

Passionate Software Developer with proficiency in working with technologies like C, Java, Python, JavaScript, Angular, React JS. Currently pursuing Masters' degree in Computer Science, actively seeking Software Developer Internship opportunities starting in May 2021.

EDUCATION

Arizona State University, USA Jan 2020 - Jan 2022

Master’s degree, Computer Science GPA: 4/4

Gokaraju Rangaraju Institute of Engineering and Technology, India Jul 2014 - Jun 2018 Bachelor of Technology, Information Technology Percentage: 86.1/100 SKILLS

Programming: Java, C, C++, Python, SQL

Web Technologies: HTML, CSS, SCSS, JavaScript, TypeScript, React JS, Angular JS, RxJS, NgRx Scientific Packages: TensorFlow, Pandas, Scikit-learn, NumPy, Matplotlib, Tsfresh Miscellaneous: Flask, Firebase, MySQL, Android Studio, Maven, ES6, Heroku, Git, Agile, Karma and Jasmine, Microsoft Office Suite EXPERIENCE

Web Developer, Arizona State University, Tempe Jun 2020 – Present

• Working on creating and maintaining new websites for Arizona State University under the EOSS domain and its subsites using Drupal, JavaScript, HTML, CSS.

• Appreciated by superior for collaborating well with my team members even though we are working from diverse locations Software Engineer, EPAM Systems, Inc, Hyderabad Jul 2018 - Dec 2019

• Worked as a Front-End Developer, responsible for the development of web applications using Angular, React and JavaScript. Followed many design patterns and best practices to improve code quality and maintained code coverage with unit testing using Karma and Jasmine

• Contributed to various applications where I have integrated NgRx and Redux for efficient state management throughout the application and used GIT for source code management

• Coordinated well with the team members, increasing the productivity and efficiency of the team, and was awarded the title

‘Delivery Hero’ for completing the project development tasks with high quality and in considerably less time

• Promoted from Junior Software Engineer to Software Engineer in a year, then mentored the junior developers to help them with exploring their careers, setting goals, helping them improve their coding standards by code reviews

• Interacted closely with the client in Agile Scrum methodology, actively participating in weekly client calls, sprint planning and retrospective sessions

Android Developer Intern, Crazybugg, Hyderabad May 2017 - Jul 2017

• Developed an android application used by diabetic patients to stay in contact with their trainers and other patients for keeping track of their workout

• Implemented login and chat functionality using Firebase as database ACADEMIC PROJECTS

Mobile Offloading – Android Studio, Java, XML Spring 2020

• Built a Master android application to break down the given task and dispatch the sub-tasks to the slave applications in proximity, then integrating the solutions to achieve higher computational power and implemented the fault tolerance mechanism for the application

• Created a Slave android application to compute the sub-task given and send the result back to the master

• Using this approach, the computational speed has increased by over two times the previous computational speed Gesture Recognition – Python, Flask, Heroku Spring 2020

• Developed a RESTful API and a Machine learning application which takes a video of a gesture as input, classifies the given sign, and gives the predicted sign as output

• Implemented this using previously recorded videos to train the models, i.e., Random Forest, Gradient Boost, Support Vector Machine and Linear Discriminant Analysis to classify the sign given by the user and achieved an accuracy greater than 80% for all the models

Meal Intake Time Prediction of a Diabetic Patient – Python Spring 2020

• Designed a Machine learning application to predict the time of meal intake of a diabetic patient by studying the levels of his blood glucose. Extracted features from the glucose data and performed PCA to reduce dimensions of the features, leading to reduced training time

• Implemented Supervised Learning, Unsupervised Learning, and Association Rule Mining to predict the time of meal intake Scheduler application – Android Studio, Java, XML Fall 2017

• Built an android application to maintain the schedule of classes with login functionality using Java and Firebase as the database and provided hierarchical access control for different users based on their role

• Implemented notifications to notify users regarding the changes in the schedule

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