As a Software Engineer, I specialize in building scalable web applications and am deeply engaged in the exciting fields of Artificial Intelligence (AI) and Machine Learning (ML). With a passion for leveraging cutting-edge technologies to create impactful and efficient solutions, I bring a diverse skill set to the table. My journey in the tech world has been one of constant learning, experimentation, and growth, allowing me to bridge the gap between theoretical knowledge and real-world applications.

Languages

AI/ML

Frameworks & Libraries

Automation & Web Scraping

Databases

Tools & Platforms

Project Management

DevOps

I have expertise across a wide range of programming languages, frameworks, AI/ML tools, databases, development platforms, project management tools, and DevOps technologies, enabling me to build scalable, efficient, and secure applications.

I specialize in Python for backend development and AI/ML with tools like TensorFlow, scikit-learn, and Keras. I build scalable web applications using Django, Flask, React, and Next.js. For mobile apps, I use Flutter. I am skilled in MySQL, PostgreSQL, and SQLite for database management.

In DevOps, I utilize Docker, CI/CD pipelines, and Kubernetes for containerization and orchestration. I use Git for version control, and Linux for server management. I manage projects using Jira, Trello for streamlined workflows.

A Django application builder that automates the process of creating a Django app. It includes features like authentication, Django Rest Framework (DRF), and automatic generation of REST APIs from JSON model definitions. This project demonstrates the ability to build customizable, modular applications with minimal configuration.

A Chrome extension that detects phishing websites by analyzing data from the website using JavaScript. The collected data is then passed to a machine learning model for prediction. This project highlights the intersection of web security and machine learning, providing an automatic detection system for potentially dangerous websites.

A machine learning project focused on recognizing handwritten digits from images. The project compares the performance of multiple ML models, providing insights into their effectiveness for image classification tasks. It leverages techniques such as image preprocessing and model evaluation for optimal performance.

This project is a prototype engine for chess logic. It focuses on implementing the core game mechanics and logic required to play chess, such as move validation, piece movement, and game state management. It is a foundational piece for building a full-featured chess game.

This Python script generates SVG visualizations of nested circles. It showcases circles placed inside one another, creating intricate patterns and arrangements. The script utilizes mathematical calculations to position circles accurately.

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Passionate about leveraging technology to create impactful solutions. Constantly exploring new ways to innovate and make a difference.