I'm an engineering student passionate about building technology that solves real-world problems.
My journey has taken me across multiple domains—from exploring blockchain ecosystems such as Solana and Bitcoin during my early college years to building full-stack applications and now diving deep into Artificial Intelligence, RAG systems, and neural networks.
I enjoy understanding not only how systems work, but why they work.
- AI Engineering
- Retrieval-Augmented Generation (RAG)
- Large Language Models
- Neural Networks & Deep Learning
- Full-Stack Development
- Distributed Systems & Blockchain
- Mathematics for Machine Learning
Currently learning and building across the AI stack:
- RAG Frameworks
- Vector Databases
- Agentic AI Systems
- Neural Networks from First Principles
- Machine Learning Fundamentals
- AI Research Papers
I love tackling complex problems and translating ideas into practical solutions. Whether it's building products, experimenting with new technologies, researching AI systems, or collaborating across domains, I enjoy working at the intersection of engineering, curiosity, and impact.
- Curious about how intelligence emerges
- Interested in research and scientific thinking
- Enjoy learning across disciplines
- Strong believer in continuous learning and clear communication
- Software Engineering Opportunities
- AI/ML Internships
- Open Source Collaborations
- Research-Oriented Projects
Building, learning, and exploring one problem at a time.