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 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.
Gemma 4 read a love note as a scam. A rewritten question brought it within two messages of Jev.
I asked Jev and Gemma 4 31B the same scam question about 158 public text messages. Jev got 151 right. Gemma, on my own card, got 131, because it flagged love notes and everyday chat as fraud. Then I let an optimizer rewrite the question once for each model. Gemma climbed to 153, and on calibration its percentages ended closer to reality than Jev's.
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.
Read the writeup →
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.
Read the writeup →
Areas of Expertise
- Generative AI & Agents
- Python
- Data Engineering & Pipelines
- Cloud (GCP, PCF)
- OCR & Document Intelligence
- CI/CD & DevOps
- Enterprise Architecture
- Technical Leadership