CHINTADA VASUDHARINI

About Me

I am a Computer Science graduate (2024, KL University) with a strong foundation in Python Full Stack Development, Cloud Computing (AWS), and Machine Learning. My passion lies in designing scalable applications, solving real-world problems using technology, and exploring innovative solutions in web development and AI.

Throughout my journey, I have gained hands-on experience in:

Developing full-stack applications using Flask, ReactJS, MongoDB, and MySQL.
Deploying and managing cloud-based solutions on AWS EC2, S3, and Lambda.
Building AI/ML models for Image Classification, NLP, and Predictive Analytics.
Working with Agile methodologies to deliver projects efficiently.

I am a quick learner with strong problem-solving skills, and I enjoy collaborating with teams to build impactful solutions. My goal is to leverage my skills in software engineering and cloud technologies to create applications that make a difference.

Education

B.Tech in Computer Science and Engineering, KL University (2020 – 2024)
CGPA: 8.51
Intermediate (MPC), Sri Chaitanya Junior College (2018 – 2020)
CGPA: 9.63
Secondary School Certificate (SSC), Siddhartha EM High School (2017 – 2018)
CGPA: 8.5

Skills

Programming: Python, Java
Frontend: HTML, CSS, JavaScript, Bootstrap, ReactJS
Backend: Flask, Node.js, Express.js
Databases: MySQL, MongoDB

Cloud: AWS (EC2, S3, Lambda)
AI/ML & NLP: Hugging Face, TensorFlow, CNN, Transfer Learning
Version Control & Tools: Git, GitHub, VS Code, Streamlit
Principles of Software Engineering: Agile, Scrum, SDLC

Projects

Quick Notes

A full-stack web application designed for secure and efficient personal note management. Features include user authentication, CRUD operations, and file uploads.

Tech Stack: Python Flask, MySQL, HTML, CSS, JS | Deployed on AWS

GitHub Live Demo

Image Captioning

An AI-powered app that generates meaningful captions for images using Deep Learning & NLP. Leveraged Hugging Face pre-trained models for improved accuracy and efficiency.

Tech Stack: Hugging Face Transformers, Streamlit

GitHub Live Demo

Internships

AWS AI-ML Virtual Internship – AWS Academy

Developed and deployed ML models using AWS services like SageMaker, EC2, S3.
Gained practical knowledge of data pipelines, monitoring, and cloud optimization.
Worked on real-world use cases involving predictive analytics and NLP.

Python Full Stack Internship – Codegnan IT Solutions

Built full-stack applications using Flask, MySQL, HTML, CSS, JavaScript, and Bootstrap.
Worked with authentication, database handling, and API integration.
Deployed applications on AWS and used Git/GitHub for version control.

Hello, I’m CHINTADA VASUDHARINI