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Hi, I'm Shiva Karthik

Introduction

Overview.

Hello! I'm Shiva Karthik Rallabandi, a passionate Full Stack Developer with expertise in Python, Go, TypeScript, C#, and Java. I am pursuing my Master of Science in Information Systems at Central Michigan University (Aug 2024 - Dec 2025). I completed my Bachelor of Technology in Information Technology from Keshav Memorial Institute of Technology, Hyderabad, India (Aug 2019 - May 2023). I have professional experience as a Software Development Engineer at Ivanti, where I worked on developing and optimizing ITSM service management libraries and implementing various system improvements. I specialize in full-stack development using technologies like Node.js, Express.js, Angular, React.js, Flask, FastAPI, and Django, along with expertise in cloud platforms and DevOps tools including AWS, Azure, Docker, Kubernetes, and Terraform.Let's collaborate to bring your ideas to life!
shivakarthikeya5@gmail.com
Resume
Resume

Full Stack Developer

Backend Developer

Cloud & DevOps

Problem Solving

Freelancer

 
 

What I have learnt so far

Skills.

Programming Languages

Python
Python
Go
Go
TypeScript
TypeScript
C#
C#
Java
Java

Full Stack Development

Node.js
Node.js
Express.js
Express.js
Angular
Angular
React
React
Flask
Flask
FastAPI
FastAPI
Django
Django

Databases & Big Data

MySQL
MySQL
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Firebase
Firebase
Redis
Redis
Kafka
Kafka

Cloud & DevOps

AWS
AWS
Azure
Azure
Docker
Docker
Kubernetes
Kubernetes
Terraform
Terraform
Jenkins
Jenkins

Development Tools

Git
Git
GitHub
GitHub
VS Code
VS Code
Visual Studio
Visual Studio
SSMS
SSMS
Postman
Postman

My work

Projects.

These projects showcase my practical skills and experience, each with descriptions and links to code repositories and live demos. They demonstrate my ability to handle complex challenges, adapt to different technologies, and oversee projects from start to finish.

project_image

AI Recruiter Voice Agent

A full-stack voice-enabled recruiter application that conducts dynamic interviews using Vapi. Built with Next.js, React, Supabase, and AI for intelligent prompt generation, it streamlines candidate screening and automates interview scheduling.

#next.js

#react

#supabase

#vapi

#ai

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CultureSense - AI Cultural Intelligence

An AI-powered cultural intelligence platform that helps businesses make data-driven decisions by understanding consumer preferences across music, fashion, food, and travel domains. Built with Qloo's Taste AI and Google Gemini for cross-domain cultural analysis and strategic insig...

#next.js

#typescript

#supabase

#gemini-ai

#qloo-api

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Student Productivity Tracker

A real-time web application that detects student distraction using custom-trained CNNs and live webcam input. Features eye closure and yawning detection with robust blink smoothing, built with PyTorch and FastAPI for real-time monitoring.

#python

#pytorch

#opencv

#fastapi

#machine-learning

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Fitness Buddy

A full-stack fitness web application that allows users to track workouts, connect with fitness buddies, and monitor their fitness journey. Features include personalized workout plans, social interactions, and real-time messaging for an engaging fitness experience.

#react.js

#node.js

#express.js

#mongodb

#jwt

#tailwindcss

project_image

Azure Utility Tool

A scalable cloud monitoring tool built using Azure APIs and Terraform. The tool enables automated cost tracking and resource allocation optimization, featuring automated cloud infrastructure provisioning with Terraform scripting for enhanced deployment efficiency.

#dotnet

#c#

#azure

#terraform

project_image

Story Books

A full-stack MERN web application with active CRUD operations and OAuth2-based secure authentication. Features refined MongoDB queries for improved response time and seamless scalability to handle high user traffic efficiently.

#react.js

#node.js

#mongodb

#oauth2

project_image

Parkinson's Disease Detection

A machine learning web application using Python and Streamlit that achieves 92% model accuracy in analyzing medical data. Features advanced data preprocessing techniques that improved predictive efficiency by 15% through analysis of 5,000+ patient records.

#python

#streamlit

#machine-learning

#data-analysis

Get in touch

Contact.

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