ML, Data & AI Solutions | LLMs, RAG, OCR | AI-driven SDD-TDD Development

I build applied AI systems for documents and vision: spatial OCR, detector orchestration, and structured extraction. Background in pharma and retail — operational data (SKU, lots, invoices, pharmacy supply chain).

Orchestrates PaddleX detectors (objects, faces, pose, vehicles, and more) over a single photo. Docker Compose + FastAPI + SPA — toggle layers and see what each adds.

docker compose up --build --wait

Academic OCR SPA with PP-OCRv6: upload images, infer, edit spatial text, export JSON / MD / CSV / annotated PNG. FastAPI + React + TypeScript.

Claims Intelligence kernel. Shipped instance: BYMA financial statements. Typed claims are the source of truth; RAG chat is optional.

Local demo: PDF or image to Markdown with VLMs via Hugging Face Inference Providers, plus A/B comparison.

Data analyst at a pharmaceutical wholesaler (2020–2023): data analysis and machine-learning projects on operational and retail-channel data. Independent consultant since 2024, shipping document-AI and computer-vision prototypes (repos above).

Completing the Tecnicatura Superior en Ciencia de Datos e Inteligencia Artificial at ISTEA (official degree, Argentina). Expected graduation: December 2026.

Demonstrated in projects

AI Engineer orientado a document AI y visión: OCR espacial, orquestación de detectores, extracción estructurada. Background en pharma y retail (droguería, dato operativo y canal farmacias). Tecnicatura en Ciencia de Datos e IA (ISTEA), egreso diciembre 2026.

Get in touch: LinkedIn