I'm a Computer Science graduate student at the University of Kansas and a Software Engineer Intern on the AI/ML infrastructure team at Flyover Capital. I work where software engineering meets machine learning and data, building systems that retrieve, extract, and reason over messy real-world information.

At Flyover Capital I build hybrid semantic retrieval over knowledge graphs (ChromaDB and Neo4j) and LLM-powered data pipelines. Before that, I worked on information extraction from scanned medical documents at Smart Data Solutions, and built LLM and retrieval-based systems at Naamche. My interests span data engineering, distributed systems, NLP, and applied machine learning, and I like teaching what I learn along the way.

I firmly believe Artificial General Intelligence is possible. To those who doubt it: think about how human intelligence came to be. Isn't it the product of evolution? Nature, through randomness, created something capable of thought, reflection, and consciousness.

Now consider this: if randomness can produce intelligence, could intentionality and design be any less powerful? We are, after all, just clusters of atoms. If nature could generate intelligence from chance, surely we can consciously create it too. The real question is not whether we can create intelligence, but what we choose to do with it.

I'm optimistic about a future with AI, and I believe what we choose to do with it will be for the betterment of society. I'm optimistic about the job market, too. Like Jensen Huang, Nvidia's CEO, I don't see AI as simply replacing jobs; it makes people more productive, and that productivity lets companies save and reinvest into new ideas and new companies, creating new opportunities and, over time, a positive impact on society.