
Ernesto Vizcaíno Alvarado
Software Engineer & Founder
I build software from scratch and get it into people's hands.
I've built and launched software for small businesses, led engineering on fintech and AI products, and worked on machine learning for astronomical data. I care about the whole process: writing the code, shipping it, talking to users, and figuring out what to build next.
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Selected work
A few things I've built and put to the test.
- Applied AI · FintechShipped fintech platform · AI agents · AWS/BigQueryCo-founded Oliver AI and led engineering of its fintech platform. Built AI agents for lending, risk review, and financial document processing, plus AWS and BigQuery pipelines that turned banking data into credit insights for customers including Abaco Capital.
Oliver AI — Financial AI Agents
- (opens in a new tab)Applied AI · Data EngineeringHelped SMBs access MXN $4M+ in financing in month oneBuilt a credit preapproval model and AI workflows using banking, tax, and financial data. Returned to integrate CONTPAQi and automate accounting reports through ETL pipelines.
Xignus AI — Financial Automation
- (opens in a new tab)Machine Learning · Astronomy1st place, Xólotl Hackathon · 5.1M+ objectsBuilt an uncertainty-aware pipeline to classify astronomical light curves, flag anomalies, and prioritize observations. Worked with a dataset of 5.1M+ objects and tested morphology classification on 6,000 simulated light curves from 600 unseen observing cadences.
Astronomical Machine Learning — Rubin/LSST
- Product Engineering · SaaS10,000+ downloads · 3,000 active users in 3 monthsBuilt and launched a mobile point-of-sale app for small businesses. After reaching thousands of users, I expanded it into a web-based ERP for sales and business management.
Oliver POS / ERP
Professional experience
I build products, ship them, and work on what happens after launch.
Independent Product Engineer / Founder
Building and operating independent software products. I handle the engineering, deployment, integrations, payments, and the less glamorous work of finding users, measuring what happens, and improving the product after launch.
AI Engineer atXignus AI
Built a credit preapproval model that helped SMBs access over MXN $4M in financing in its first month. Also built AI workflows using financial, banking, and tax data. Returned in 2026 to integrate CONTPAQi and automate accounting data pipelines and Excel reporting.
Technical Co-Founder atOliver AI
Co-founded Oliver AI and led engineering of its fintech platform, from onboarding to lending workflows. Built AI agents with the Vercel AI SDK and AWS/BigQuery data pipelines for financial analysis, serving customers including Abaco Capital.
Founder / Engineer atOliver POS / ERP
Built and launched a mobile point-of-sale app that reached 10,000+ downloads and 3,000 active users in three months. Later expanded it into a web-based ERP.
Research & Awards
1st Place, Xólotl Hackathon
Phase 3, Advanced Track · CUDI / LAMOD UNAM
Rubin/LSST Astronomical Time Series Classification
Won first place in the advanced track by building a pipeline to classify Rubin/LSST-like light curves and flag anomalies. Tested on 6,000 simulated curves from 600 observing cadences not seen during training. These results describe morphology classes, not physical star types.
- 5.1M+ astronomical objects
- 10 morphologies
- 6,000 evaluation light curves
- 600 completely unseen observing cadences
- 68.47% balanced accuracy
- 68.28% macro F1
View university recognitionThe award supported participation in CARLA 2026 in Córdoba, Argentina.
Research
Gaia / OGLE Variable Star Classification
Universidad Autónoma de San Luis Potosí
Built a classifier for periodic variable stars using 491,073 Gaia sources and 91 engineered time-series, Fourier, color, and catalog features. Class-weighted XGBoost reached 0.9495 macro F1 on a held-out split; a separate comparison against mapped OGLE labels reached 0.9847 weighted F1.
Press & Recognition
Independent coverage of my astronomical machine learning work and hackathon award.
Writing
Contact
Building something challenging? I'm interested in software engineering, applied AI, and early-stage teams. Tell me what you're working on.