About Me

I am an aspiring Software Engineer with a strong academic background in Cloud Computing, Machine Learning, and Web Development. My passion lies in leveraging technology to create innovative and impactful solutions. I possess a comprehensive skill set in web development, utilizing modern frameworks to build dynamic and user-centric applications. Additionally, I am proficient in implementing machine learning algorithms to extract valuable insights from data. With experience in deploying applications on cloud platforms, I am well-versed in creating scalable and resilient software solutions. I am committed to continuous learning and staying updated with the latest advancements in the field. I am excited to contribute my expertise to the ever-evolving world of software engineering, and I am driven to make a positive difference through my work.

Experience

Software Engineer - ZF Group

Nov 2023 - Present

Education

California State University, Chico

August 2021 - Dec 2023

Master of Science in Computer Science

Anna University

Aug 2017 - May 2021

Bachelor of Technology in Information Technology

Technical Skills

Languages

C++
Python
JavaScript
SQL
HTML
CSS
Dart
TypeScript

Database & Cloud

MySQL
MongoDB
AWS
GCP
Firebase
Terraform
CI/CD

Frameworks

Angular
Docker
Express.js
React
Node.js
Django
Bootstrap
Scikit-learn
Flutter

Tools

Eclipse
IntelliJ
VS Code
GitHub
Jira
Google Colab
Jupyter Notebook

Projects

Video Rental API

Developed a video rental API using Node.js and Express.js, integrated with MongoDB, hosted on Amazon EC2
Enforced JWT-based user authentication for secure access to the video rental API
Implemented a CI/CD pipeline with Jenkins, Docker, Kubernetes for automated deployment
Orchestrated AWS infrastructure using Ansible and Terraform, optimizing network and resource provisioning

Cloud Resume Challenge

Developed a cloud-based resume website using AWS services, showcasing HTML, CSS, and JavaScript skills
Deployed the website as a static site on Amazon S3, secured with HTTPS using Amazon CloudFront
Implemented a visitor counter using DynamoDB, API Gateway, and Lambda with Python and AWS SDK (boto3)
Automated Terraform configuration with CI/CD using GitHub Actions for seamless infrastructure deployment

Video Game Discovery App

Developed a video game discovery app using React and RAWG API, with advanced filtering and dark mode option
Built a clean and responsive user interface with Chakra UI for easy navigation and improved user experience
Deployed the app on Amazon EC2 for high availability, scalability, and reliability
Implemented CI/CD using AWS CodePipeline for automated build, test, and deployment

Inventory Management System

Designed a robust and scalable inventory management system using MEAN stack
Demonstrated expertise in cloud computing and infrastructure management by deploying the system in AWS
Conducted thorough testing and debugging to ensure full functionality and compliance with requirements
Utilized Terraform for infrastructure as code, enabling consistent and reproducible deployments

Organizer

Designed a full stack Organizer web service using HTML, CSS, JavaScript, Bootstrap, Django & Python
Developed a web-based task manager and expense tracker to efficiently manage tasks and expenses
Utilized Docker to containerize the application for easy deployment and portability
Demonstrated cloud expertise by deploying web app on Google Cloud Compute Engine

Wildfire Prediction using Artificial Neural Network

Pre-processed weather and fire data with Geopandas to extract geospatial features
Explored Scikit-Learn models and identified MLP as best for predicting wildfires
Analyzed and visualized data with Matplotlib and Seaborn to guide model development
Developed an accurate wildfire prediction model using MLP achieving 90% accuracy

Weather App using Flutter

Designed and developed a weather app using Flutter for Android devices
Implemented search functionality to enable users to look up the weather for different locations
Integrated Google Maps API and Firebase to display and store location-based information
Utilized REST APIs to fetch and display data from external sources

Voice and Vision based Smart Wheelchair

Developed a Voice and Vision-based Smart Wheelchair by integrating image processing using OpenCV
Built an android application for speech synthesis and recognition using Flutter
Designed eyeball movement tracker algorithm using Python
Assembled smart wheelchair setup by using Raspberry Pi

Hello, I am Kausic