A bit more detail.
I finish a computer science degree at UNLV in December, and I start a master's in machine learning at Georgia Tech in January. Most of what I actually know did not come from coursework. It came from building things end to end and then dealing with whatever broke once other people were using them.
The work I am proudest of is usually not the first version of anything. It is the second one, written after I found out the original approach did not hold up. A recommendation pipeline that recomputed every user's weights and took thirty seconds. A language model that was allowed to decide too much. Those rewrites taught me more than the initial builds did, and they are the parts of these projects I can talk about for an hour.
Outside of that I spent two years as the only teaching assistant for an operating systems course, which mostly meant reading other people's kernel code and figuring out why it deadlocked. I competed with UNLV's ACM chapter and placed first in our Codeathon.
- Based
- Henderson, NVOpen to relocation
- Degree
- B.S. Computer ScienceUNLV, Dec 2026 · GPA 3.92
- Next
- M.S. Computer ScienceGeorgia Tech, ML spec, Jan 2027
- Focus
- Backend & applied ML
- Code
- github.com/Manj0t
- Elsewhere
Things I have built.
Smaller experiments.
Where I have worked.
Involvement
Let's build something.
I am looking for software engineering and machine learning roles, and I am available to start now. If any of the above is close to what your team works on, I would be glad to talk it through in more detail.