Hello, I'm
Alberto Nieto
Generative AI Principal Engineer
I started as a teller, taught myself to code, and spent 26 years building my way to Principal Engineer. Now I design AI systems at work, and on my own time I build open source tools that test what models actually do, then publish the evidence.
2x Top Performer
2 Patents Pending
26 Years
8 PyPI Packages
Latest writing
All posts →I gave urgent receipts priority. The bulk import paid for it.
Giving urgent receipts priority and reserved slots recovered most five-second deadlines. The bulk import completed less work and took longer to drain.
I sent my 4090 six receipts a second. The queue kept growing.
Five incoming receipts a second kept the queue short. Six filled it during a five-minute run. The lower rate still timed out on one troublesome receipt.
I ran Nemotron Parse on a 4090. Then I checked the numbers.
All 48 measured requests completed on my RTX 4090. One receipt's 79,500 came back as 79,300. A small CORD experiment shows what completion, text overlap and numeric recall each leave out.
What I'm building
View all projects →typevet
Typed answers from open models, about text and photos. With a receipt photo attached, Gemma 4 caught 6 of 6 wrong totals it had passed as text.
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vramfit
Fits large open models onto one GPU. Gemma 4 31B on a 24 GiB card, serving 86,016 tokens of context.
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saucier
Reads two printings of a 1909 cookbook and catalogues 151 sauces, every claim traced to the line it came from.
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Areas of Expertise
- Generative AI & Agents
- Python
- Data Engineering & Pipelines
- Cloud (GCP, PCF)
- OCR & Document Intelligence
- CI/CD & DevOps
- Enterprise Architecture
- Technical Leadership