I'm passionate about building scalable backend systems and AI-powered applications. I enjoy learning by building real-world projects, exploring modern software engineering practices, and continuously improving my development skills.

Currently, my focus is on Backend Development with FastAPI, while expanding my knowledge in Generative AI and preparing for deeper work in Machine Learning and Deep Learning throughout my AI studies.

• Building RESTful APIs with FastAPI
• Designing scalable backend applications
• Integrating AI into software solutions
• Learning backend architecture and best practices

• Python
• JavaScript
• HTML
• CSS

• FastAPI
• REST APIs
• SQLModel
• SQLite

• Pandas
• NumPy
• Scikit-learn
• Streamlit

• Git
• GitHub
• VS Code
• Postman

A FastAPI-powered REST API with SQLite database integration and Groq AI capabilities for AI-assisted recipe management.

A RESTful backend application for managing students and courses using FastAPI and structured API design.

A machine learning application built with Streamlit using Logistic Regression and KNN models for diabetes prediction.

An end-to-end machine learning project featuring data analysis, predictive modeling, and an interactive Streamlit application.

• Backend Development
• Database Design
• Authentication & Authorization
• API Security
• Generative AI
• Software Engineering Principles

• LinkedIn: https://linkedin.com/in/devsparkcodes
• GitHub: https://github.com/devsparkcodes
• Email: devspark.codes@gmail.com