As a Web Developer with over 10 years of experience and a strong focus on Python, I specialize in building scalable, secure, and user-friendly web applications. My expertise spans both front-end and back-end development, with a deep understanding of modern frameworks, tools, and best practices. I am passionate about solving complex problems, optimizing performance, and delivering high-quality solutions that meet business goals.
Core Services
1. Full-Stack Web Development
Front-End Development:
Build responsive, mobile-first user interfaces using HTML5, CSS3, and JavaScript.
Work with modern frameworks like React, Angular, or Vue.js for dynamic and interactive web applications.
Ensure cross-browser compatibility and accessibility (WCAG standards).
Back-End Development:
Develop robust server-side logic using Python and frameworks like Django, Flask, and FastAPI.
Design and implement RESTful APIs and GraphQL endpoints.
Integrate third-party APIs and services (e.g., payment gateways, social media platforms).
2. Python Development
Web Applications:
Build scalable and secure web applications using Django (e.g., e-commerce platforms, content management systems).
Develop lightweight and fast APIs using Flask or FastAPI.
Automation and Scripting:
Create scripts for data processing, automation, and system administration.
Use libraries like Pandas, NumPy, and OpenPyXL for data manipulation and analysis.
Data Science and Machine Learning:
Develop machine learning models using Scikit-learn, TensorFlow, or PyTorch.
Build data pipelines and visualization tools using Matplotlib, Seaborn, and Plotly.
3. Database Design and Management
Design and optimize relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
Use SQLAlchemy or Django ORM for database interactions.
Implement database migrations and backups.
4. DevOps and Deployment
Containerize applications using Docker and orchestrate with Kubernetes.
Deploy applications on cloud platforms like AWS, Azure, or Google Cloud.
Set up CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI/CD.
Monitor applications using tools like Datadog, Prometheus, and Grafana.