I'm a Full-Stack Developer passionate about building innovative solutions in AI, LLMs, and SaaS projects. With a deep understanding of modern technologies and a focus on clean, scalable code, I create applications that are both efficient and user-friendly.
π Fun Facts:
- π I swim after every workout to optimize fat reduction and balance muscle gain.
- π Passionate about solving complex NP problems efficiently.
- π€ Always experimenting with the latest in AI and LLM research.
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RAG System for Archaeological Data: Leveraging Neo4j, OpenAI, and Streamlit to create a knowledge graph and chatbot for archaeological sites in the Bayuda Desert.
- Based on: Excavation in the Wadi Abu Dom
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AI-Powered Problem Solvers: Fast algorithms for NP-problems and CSP problem-solving with modern computational techniques.
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Consensus Protocols for IoT Devices: An in-depth analysis of lightweight, scalable, and efficient consensus mechanisms tailored for IoT environments.
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Real-Time Planning Algorithms: Enhancing robotic pathfinding through the implementation of the D* algorithm and its variants.
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Interpretable AI Models: Debugging and improving deep learning models using explanation methods to uncover hidden biases.
- Scaling LLM capabilities in SaaS environments
- Developing Dockerized and Kubernetes-orchestrated AI systems
- Enhancing user-friendly UIs with Next.js and TailwindCSS
"Code is not just a tool, it's a canvas for innovation."
Feel free to explore my repositories and reach out for collaborations!