Kasu Ameesh Reddy

602-***-**** aduuvb@r.postjobfree.com linkedin.com/in/ameeshreddykasu/ github.com/ameeshreddy500 Education

Arizona State University Tempe,AZ

Masters in Computer Science CGPA: 4.0/4.0 Aug. 2022 – June 2024 Amrita University Coimbatore, Tamil Nadu

Bachelor of Technology, Electronics and Communication Engineering CGPA:3.39/4.0 Jul. 2018 – May 2022 Experience

Splash BI Hyderabad, India

Software Developer Intern March 2022 - June 2022

• Bug Fixes:- Implemented various bug fixes in the source code.

• GUI Components:- Implemented Springboot and Microservices for developing GUI based components. .

• Software Deployment:- Have been trained to work with the Docker tool for deployment.

• Technologies Used:- Java,Microservices and Docker. Projects

Multispectral Image SuperResolution Python,TensorFlow,Pandas,OpenCV, Matlab Jan 2022 – June 2022

Implemented The Convolutional Autoencoder Deep Learning Model to spectrally enhance the MS Image.

Implemented seven Fusion algorithms to enhance the spatial resolution of Multispectral Image by fusing with Panchromatic Image using Matlab.

All the Fusion Algorithms were compared using the quantitative and quantitative metrics.

Batch File was created to automate the tasks mentioned above. Image Classification Android Application AndroidStudio,FlaskServer,PostmanAPIAugust 2022 – December 2022

Developed a Backend Flask server to communicate with the android app and store the images categorically tested the server reliability with Postman API.

Developed an Android app using the android studio in java for handling events and permissions to open camera and take photo and send it to the backend Flask server.

Developed the Backend code which based on Deep Learning methods such as DCNN and autoencoder based models were implemented and all of them yielded a good effeciency above 95 percent in classifying digits and this code was hosted on the backend Flask Server.

As next milestone have divided the parent image to 4 sub images and sent them to 4 different models then have received the confidence levels and was able to predict the digit.

Integrated all the frontEnd Code with the backend code using OKHttp . Library Management System Java,Bootstrap,MYSQL,PHP April 2022 – June 2022

A program that uses automation to operate a book library.

The Interface provides enabling librarians to manage and operate the following code through GUI.

Implemented the code for allowing different access levels to the book user and the librarian.

Allowing to give more access to librarian to add new books and remove the books from issued list of user to return them.

Network based Security attacks detection in IoT Python,Tensorflow,Jupyter August 2022 – December 2022

A Review of various Machine Learning Algorithms both supervised and unsupervised was made to detect the various attacks on Network especially using services like DDOS and DNS.

Many techniques were studied which gave a proper implementation for prevention of these attacks as well.

All the quantitave metrics like accuracy and F1 score were calculated and analysed for various algorithms .

Able to make a detailed analysis of various algorithms and was able to interpret which algorithms would work well in different scenarios.

Technical Skills

Languages: Java, Python, C/C++, SQL (Postgres), JavaScript, HTML/CSS, XML Frameworks: React, Node.js, Flask, JUnit, WordPress, Material-UI, FastAPI Developer Tools: Git, Docker, Visual Studio, VS Code, IntelliJ, Eclipse, Android Studio Libraries: Pandas, NumPy, Matplotlib