Cinthya Criollo portrait
Amsterdam Area, NLAI & Data Operations

AI & Data Operations

I build reliable AI-driven data workflows for business systems and quality control. My work automates multilingual processes across 10+ EU markets, stabilizes vendor and payment operations, and integrates computer vision for early anomaly detection — helping teams make decisions with clarity, not chaos.

96%
TEST ACCURACY (PLANT HEALTH AI)
10
EU MARKETS SUPPORTED
0.97
DICE SCORE (MEDSAM EVAL)
See projects ↓
Selected workAI / Data / Systems

Projects & Research

Things I’ve built, shipped, or researched recently. Model alignment, medical vision, and data operations at scale.

Computer VisionApplied AI

Tomato Leaf Health Diagnostics (PlantVillage)

Built an end-to-end vision system for tomato leaf disease detection. Designed a reproducible pipeline for data download, label normalization, and deterministic splits. Trained a ResNet18 classifier (PyTorch) on Snellius GPU achieving ~96% test accuracy.

  • Deployed via Streamlit (web app) and FastAPI (JSON endpoint)
  • Supports real-image uploads with confidence-based feedback
  • Next step: in-the-wild fine-tuning for natural lighting data

Python · PyTorch · Streamlit · FastAPI · GPU (Snellius)

LLM AlignmentResearch

LLaMA 2 7B Human Preference Alignment

Compared In-Context Learning (ICL), QLoRA, and Direct Preference Optimization (DPO) to analyze how fine-tuning affects alignment with human preference. Research collaboration within the UvA NLP-2 course.

Python · Transformers · RLHF-style tuning

Medical VisionThesis work

Medical Image Segmentation (MedSAM vs UniverSeg)

Evaluated generalization in medical segmentation using MedSAM and UniverSeg. Focused on cross-domain performance, Dice score (0.97), and robustness to imaging variation.

Python · PyTorch · medical imaging · Dice 0.97

Data OpsProduction impact

Multilingual DataOps: Translation Pipeline & Invoice Tracking

Supported finance & procurement flows across 10+ EU markets: stabilized vendor onboarding, mapped region codes, tracked invoice exceptions, and ensured timely payments during entity transitions.

SAP Hybris · data validation · process automation · stakeholder ops

Experience

Work that mixes technical detail with operational impact.

IT Digital & Customer Care Intern

Apollo Tyres Europe B.V. · Amsterdam, NL
2025 (current)

I support finance, procurement, and customer care flows across 10+ EU markets. I keep vendor onboarding and invoice payments stable during an entity/legal change, map region codes, track invoice exceptions, coordinate with Finance / Procurement / Legal, and make sure critical services continue to get paid.

SAP · process automation · multilingual ops · stakeholder alignment

Medical Image Segmentation Research

University of Amsterdam · Research / Thesis
2024–2025

I benchmark MedSAM and UniverSeg for cross-domain medical segmentation. Focus: model generalization, Dice score stability across imaging conditions, and how to adapt segmentation to unseen data with minimal manual labeling.

PyTorch · computer vision · model evaluation · Dice 0.97

Skills

Technical depth + operational reality. Scroll sideways ↓

SQL (PostgreSQL / SQLite)85%
Python ETL (pandas, pipelines)90%
Data modeling & splits (train/val/test)80%
BI mindset (KPIs, retention, DAU)75%

Education

MSc Artificial Intelligence

University of Amsterdam
2024–present

Focus on model alignment (ICL, QLoRA, DPO), RL-style preference optimization, and medical computer vision. Includes work on multilingual, real-world operational systems.

MSc Data Science

University of Amsterdam
2022–2024

Statistical modeling, machine learning, and data interpretation for decision-making in real business settings.

BSc Economics and Business Economics

University of Amsterdam · Minor in AI & Data Science
2018–2023

Focused on econometrics, optimization, and data-driven strategy. Explored how quantitative methods and AI can inform business and policy decisions.

Cinthya Criollo
I build stable AI and data workflows that bridge human context with machine systems. My focus is on automation, operational clarity, and multilingual data reliability.
Emailcinthya.cri@hotmail.com
Phone+31 6 27272248
NL
© 2025 Cinthya Criollo · bridging human context ↔ machine systems