Welcome to my GitHub profile! I'm a passionate Software Developer with a strong background in a variety of technologies, always eager to explore new challenges and push the boundaries of what's possible in software development.

• Cutting-Edge Technology: I'm fascinated by the latest advancements in AI, blockchain, and cloud computing. Always looking for ways to incorporate these into my work.
• Open Source Contributions: I believe in the power of collaboration and love contributing to projects that have a positive impact on the community.
• Scalable Systems: Whether it's designing a new microservice architecture or optimizing database performance, I'm all about building systems that can grow with the demand.

• Advanced Machine Learning: Diving deeper into NLP, Computer Vision, and Time-Series Analysis to develop smarter, more efficient models.
• Blockchain and DeFi: Exploring the world of decentralized finance and blockchain protocols to stay ahead in this rapidly evolving field.
• Edge Computing: Experimenting with deploying AI models on edge devices to create real-time, responsive applications.

• Innovative Open Source Projects: If you're working on something exciting, especially in AI or blockchain, I'd love to hear about it!
• Tech Talks and Workshops: Always excited to share knowledge and learn from others, whether it's through speaking engagements or hands-on workshops.
• Hackathons and Competitions: I thrive in high-pressure, creative environments and am always up for a challenge.

• Email: rahid.syed1@gmail.com
• LinkedIn: Rahid Syed
• Location: Arlington, TX

• Languages: Python, Java, C, J2EE, Spring Boot, RESTful Web Services
• Web Development: HTML, CSS, JavaScript, JSON, React, Redux, Node.js
• Databases: MySQL, PL/SQL, Snowflake, SQL Server
• Cloud Platforms: AWS, Azure, GCP
• Machine Learning: TensorFlow, Keras, Scikit-learn, OpenCV
• DevOps: Git, Jenkins, Docker, Kubernetes

A deep learning model to classify flower species with 97.8% accuracy, featuring a user-friendly interface built with Bootstrap.

A Java and Spring Boot-based solution for managing urban traffic, deployed on AWS with a 99.9% uptime.

Thanks for stopping by! I'm always open to connecting with like-minded professionals, so don't hesitate to reach out. Looking forward to collaborating and creating something amazing together!