About Me

I am a Computer Science student at Academy of Technology with a strong focus on Python development, data analytics, and applied artificial intelligence. My work sits at the intersection of solid engineering practices and practical problem-solving, with an emphasis on building systems that are usable, scalable, and impactful in real-world environments.

Over the past few years, I have designed and developed a range of AI-powered solutions, including conversational chatbots, data-driven analytics pipelines, and intelligent traffic management systems. These projects reflect my approach to engineering: start with a clear problem statement, design a robust architecture, and ship working solutions that can evolve with real-world constraints.

For Web3 and Ethereum hackathons, I bring this same mindset into the decentralized ecosystem. I am particularly interested in:

• Building AI-assisted dApps that enhance user decision-making
• Leveraging Python and off-chain analytics to complement on-chain data
• Designing smart contract–aware systems that prioritize security, transparency, and scalability
• Exploring the convergence of AI, data, and decentralized infrastructure

I value open collaboration, clean abstractions, and shipping over theory alone. Hackathons, for me, are not just about prototypes—they are opportunities to test ideas under pressure, learn from strong peers, and contribute meaningfully to the evolving Ethereum ecosystem.

Tech Stack & Focus Areas

• Python, Data Analytics, Applied AI
• Smart Contract Integration & On-chain/Off-chain Data Pipelines
• AI-Driven Decision Systems for Web3 Use Cases
• Open-source collaboration and rapid prototyping

I am excited to collaborate with builders who believe in creating useful, trust-minimized, and production-ready Web3 solutions.