I’m a Computer Science graduate student at the University of North Texas (graduating May 2025) with Full Stack Developer experience in web application development and cloud infrastructure. I’ve contributed to real-world projects through internships and independent work, focusing on building scalable, secure, and performance-optimized applications.
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Aug 17, 2025 · 6 min read · A large language model (LLM) is like a super-intelligent brain sitting in a jar. It knows a lot. It can reason, think, and even sound brilliant. But ask it to send an email, book a meeting, write code and run it, or search the web on its own, it just...
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Aug 14, 2025 · 5 min read · Most AI models answer in seconds, but they don’t always explain how they got there. It’s like getting the solution to a math problem without seeing the working steps, quick, but not always trustworthy. By using Chain-of-Thought prompting, you can tra...
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Aug 14, 2025 · 4 min read · In the world of AI, the quality of the output you get often depends on the quality of the input you provide. System prompts and prompting techniques are the hidden levers that guide AI models like ChatGPT to understand context, follow specific rules,...
Join discussionAug 13, 2025 · 3 min read · When I told my mom I work with something called “vector embeddings,” she looked at me like I had just spoken another language. So, I decided to explain it in the simplest way possible with no technical jargon, no formulas, just plain words. What are ...
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Aug 13, 2025 · 4 min read · Imagine you give ChatGPT a full document or a very large paragraph and then start asking questions about it. Do you think it reads and understands the whole thing at once, exactly like a human? The short answer is no, and this is why tokenization ex...
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