Software Developer Data

Akshitha Sudini

*******@***.*** 480-***-**** Tempe, Arizona.

linkedin.com/in/akshitha-sudini https://sudini-akshitha.github.io/PersonalWebsite/ EDUCATION

Master of Science – Computer Science Aug 2019- May 2021 Arizona State University, Tempe, AZ. GPA 3.94/4.

● Courses: Data processing at scale, Artificial Intelligence, Data Mining, Foundations of Algorithms, Statistical Machine Learning, Knowledge Representation and Reasoning, Distributed/Multiprocess Operating Systems, Multimedia and Web Databases, Data Visualization. Bachelor of Technology in Computer Science and Engineering July 2015-May 2019 National Institute of Technology Calicut, Kerala, India. GPA 8.37/10.

● Courses: Data Structures and Algorithms, Theory of Computation, Software Engineering, Computer Architecture, Computer Networks, Operating Systems, Compiler Design, Database and Management Systems, Pattern Recognition.

Software Developer Intern - Edupoint, Mesa, AZ. Aug 2020 - Present

● Working within a web framework using C# .NET to extend the Edupoint web-based applications.

● Develop and execute thorough C# and Microsoft SQL scripts for different releases in Synergy SIS software used for K-12 Education.

Jr. Software Engineer Intern - Sensagrate LLC, Tempe, AZ. May 2020-Aug 2020

● Developed responsive webpage layouts, data models and routes using HTML,CSS,JS,Node/Express JS and MongoDB in an agile/scrum environment.

● Worked on fetching data from third-party REST API’s and storing the results in the database. Visual Analytics System. HTML, CSS, d3.js

● Worked on creating heatmap visualization to analyze the data in an interactive visualization software system with 5 types of visualizations to solve VAST 2017 Mini-Challenge 2. Gesture Recognition System. Python

● The Project is focused on using multi-variate time series gesture data sets to experiment with various gestures using TF, TF- IDF models.

● Techniques such as dimensionality reduction, clustering, classification, indexing, and visualization to achieve an accuracy of up to 95%. Page Rank, PCA and LDA algorithms were implemented. Securing Neural networks against Adversarial Attacks. Python, TensorFlow

● Devised a method with an accuracy of 91% using autoencoders to defend adversarial attacks against the neural networks. Neural Networks are trained using the MNIST digits dataset. Experimental Operating System.

● Built an OS from scratch using the tools provided such as compilers for user application, kernel applications.

● Implemented a simplified version of the Process Management system, Scheduler, Interrupts, and System Calls. Improved upon the tools being used to build the OS. Student Portal System.

● Designed a Student Portal System website and also a mobile application by implementing the procedures such as drawing UML diagrams, preparing SRS, SDD, and then implementation and testing.

● Website is made using HTML, CSS, JavaScript, My SQL, PHP and for the mobile application Java, XML, MySQLite is used in Eclipse.

PROFESSIONAL EXPERIENCE

PROJECTS

TECHNICAL SKILLS

● Languages: C, C#, Python, SQL

● Web Technologies: HTML, CSS, JavaScript, Bootstrap, JQuery, NodeJS, React, d3.js

● Tools, Frameworks and Methodologies: Pandas, Tensorflow, Git, MongoDB, Agile, MySQL

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