Yogitha Muthappa
Full-Stack Developer | Specializing in React, Next.js, Node.js & AI-Powered Solutions | Building Scalable Web Solutions
About Me
As an experienced Full-Stack Developer with an M.Tech in CSE (Cloud Computing), I am passionate about crafting innovative web solutions that drive user engagement and push technological boundaries. My expertise lies in creating user-centric applications by integrating cutting-edge technologies, including AI and machine learning, to deliver exceptional digital experiences.
I thrive in dynamic, fast-paced environments where continuous learning and application of new skills are key. My technical proficiency spans both front-end and back-end development—leveraging React and Next.js for building intuitive interfaces, and Node.js and Express for developing robust, scalable backend systems. Performance optimization and scalability are always at the core of my work.
2+
Years of Experience
10+
Projects Completed
Key Achievements
Winner of Hackathon at Signify
1
ACM Publication
Skills & Expertise
React
Next.js
Node.js
Express.js
MongoDB
Git
Python
TypeScript
MVC
RESTful APIs
Agile
CI/CD
Work Experience
Senior Full Stack Developer AI
4Good.AI | Jul 2024 - Present
Developed end-to-end web applications, integrating AI models and optimizing RESTful APIs and microservices for better performance.
Full Stack Web Developer
PESU Venture Labs | Dec 2023 - Jun 2024
Contributed to E-Commerce Marketplace and SaaS web application development, implementing MVC pattern and optimizing code performance.
Development Engineer Intern
Signify Innovation Labs | Oct 2022 - Jun 2023
Applied Agile methodologies, enhanced application features, and achieved high customer satisfaction through prompt issue resolution.
Associate Software Engineer
Techvaria Solutions Pvt. Ltd. | Apr 2021 - Oct 2021
Developed commercial software using Deluge and Zoho Creator, optimizing functionality and ensuring smooth deployment across the full development lifecycle.
Featured Projects
Using Federated Learning in anomaly detection and Analytics on real-time streaming Data of Healthcare
The main aim of this project work is to solve the problem of clinical detoriration that is caused due to medical errors. In this project we have used the Flower Framework to simulate the process of Federated Learning. This project is developed using Python.
A Portfolio Website using React and Tailwind CSS.
This project is developed using React frontend library and Tailwind CSS. The main objective of this project is to learn the fundamental concepts of React and Frontend Development.
Publications
Using Federated Learning in Anomaly Detection and Analysis in Real Time Streaming Data of Healthcare
ACM Publication (AUG- 11- 2023)
Developed a machine learning model for predicting underlying conditions in Cardiac ICU patients using Federated Learning and the Flower Framework.
Making Sense of Federated Learning: Concepts, Benefits, and Challenges
Medium (OCT- 15- 2023)
In this article, we discuss Federated Learning, its benefits, and challenges.
Get in Touch
Contact Information
yogithamuthappa@gmail.com
Bangalore