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https://github.com/darshan-vijay/darshan-vijay

Darshan Vijayaraghavan | Software Engineer | Experienced Full-Stack Developer | AWS Certified Solutions Architect – Associate Building elegant, scalable systems and seamless user experiences through code.
https://github.com/darshan-vijay/darshan-vijay

angular aws devops fullstack-development gcp javascript kubernetes react terraform

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Darshan Vijayaraghavan | Software Engineer | Experienced Full-Stack Developer | AWS Certified Solutions Architect – Associate Building elegant, scalable systems and seamless user experiences through code.

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README

          

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### About Me
I'm a passionate Full Stack Developer and Cloud Computing enthusiast with 3 years of industry experience. Currently pursuing my Master’s in Computer Science at the University of Colorado Boulder, I bring a strong foundation in system design, cloud infrastructure, and agile development.

My experience spans across frontend development, backend APIs, data visualization, DevOps, and cloud orchestration. I enjoy building scalable, resilient, and user-friendly applications.

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### Key Skills

#### Programming Languages & Databases
[![Skills](https://skillicons.dev/icons?i=js,ts,cpp,c,java,py,html,css,mysql,mongodb,redis)](https://skillicons.dev)

#### Full-Stack Tools & Frameworks
[![Skills](https://skillicons.dev/icons?i=react,angular,nodejs,express,figma,bootstrap)](https://skillicons.dev)

#### DevOps & Cloud Platforms
[![Skills](https://skillicons.dev/icons?i=docker,kubernetes,terraform,jenkins,aws,gcp)](https://skillicons.dev)

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### Certifications




πŸ”— AWS Certified Solutions Architect – Associate

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### Publications

#### πŸ“° **IEEE Publication**
πŸ“„ [**A Novel Approach to Diagnose Osteoporosis Using Deep Learning Techniques**](https://ieeexplore.ieee.org/document/9752533)
*IEEE Xplore, 2022*

Osteoporosis is a chronic degenerative disease affecting mostly postmenopausal women and individuals over 50. The paper presents an efficient method to predict osteoporosis risk using DEXA scan images. By applying preprocessing, data augmentation, SMOTE sampling, and training on various CNN/hybrid models, the proposed method achieves:
- **Accuracy**: 92.05%

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### Featured Projects

- **Quiz Generator** – An automated quiz creation tool that scrapes documents from the web, generates multiple-choice questions using large language models (LLMs), and publishes quizzes to Google Forms via API.
- **Studious** – A web application that helps students form and manage study groups based on courses, schedules, and shared interests. Users can create profiles, set availability, and automatically get matched with compatible study partners.
- **Plant Doc** – An AI-powered chatbot that helps users diagnose plant diseases and get treatment advice. Users can describe symptoms and upload leaf images, and the system uses a combination of a trained CNN model and a language model to identify the disease and recommend solutions.

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### Let's Connect



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### Resume
> [!IMPORTANT]
> Click here to view my resume

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