Co-authored Conditional deep generative normative modeling for fetal brain anomaly detection, published in NeuroImage.
Carlos Simón Amador Izaguirre
Simón Amador
AI Engineer · Biomedical AI Researcher
I build intelligent systems for healthcare, from production GenAI products used by pharmaceutical teams to deep-learning research for fetal brain MRI. Currently leading AI at Laboratorios Bagó del Perú.
Open to opportunities in
Graduate study (MSc or doctorate)
Remote health AI roles
Research collaborations
LATAM healthcare AI
Background
Research at Harvard Medical School. AI products in production at Laboratorios Bagó.
01
News
Research presented at ISMRM 2025 on conditional deep generative modeling for fetal brain anomaly detection.
Joined Laboratorios Bagó del Perú to lead production GenAI systems for pharmaceutical operations and physician workflows.
Presented fetal MRI anomaly-detection work at OHBM 2024 and MIT-MGB AI Cures.
Graduated with a B.S. in Biomedical Engineering from Tecnológico de Monterrey with a 92.4/100 GPA.
02
About
I'm Carlos Simón Amador Izaguirre, most people call me Simón. I'm a Peruvian biomedical engineer building AI systems that move the needle in healthcare, with a focus on LLM products, medical computer vision, and deployable clinical decision-support tools.
I studied at Tecnológico de Monterrey and spent six months at the Fetal Neonatal Neuroimaging and Developmental Science Center (FNNDSC) from Boston Children's Hospital and Harvard Medical School, where I co-authored research on deep generative models for fetal brain anomaly detection.
Currently, I lead a team of three at Laboratorios Bagó del Perú, shipping GenAI products used by 120+ medical representatives and developing clinical tools targeting thousands of physicians. I work across the full stack: LLM orchestration, RAG pipelines, Dockerized services, Oracle SQL, A/B testing frameworks, analytics, and cross-functional change management.
I am open to opportunities in graduate study, research collaborations, and remote roles where rigorous AI engineering connects with real healthcare impact.
Rigorous AI should be useful before it is impressive.
03
Publications & Research
1
NeuroImage
2025
2025
2
Presentation
Conditional deep generative normative modeling for structural and developmental anomaly detection in the fetal brain
ISMRM
2025
2025
3
Poster
Deep generative anomaly detection for structural anomalies in fetal brain with ventriculomegaly
OHBM
2024
2024
4
FNNDSC
2024
2024
5
MIT-MGB
AI Cures 2024
AI Cures 2024
04
Experience
Lead AI Engineer
Laboratorios Bagó del Perú · ICT Management
Jul 2024 - Present
Lima, Peru · UTC-5
Lima, Peru · UTC-5
- Built a GenAI sales copilot integrating CRM, ERP, and unstructured data into a conversational interface for 120+ medical representatives, scaling from 500 to 4,000+ monthly queries.
- Shipped a clinical RAG assistant for physicians combining 10,000+ curated PubMed studies with proprietary product data, targeting 10,000 enrolled physicians.
- Designed A/B testing and prompt-optimization workflows that reduced hallucinations and lifted user satisfaction to 80%+.
- Managed vendor development of an 18-month demand-forecasting MLOps pipeline estimated at $1.5M annual value.
- Drove AI adoption across Marketing, Promotions, BI, Logistics, Finance, and Commercial teams.
Research Intern
Conceivable Life Sciences · Dr. Adolfo Flores-Saiffe
Mar - Jun 2024
Guadalajara, Mexico
Guadalajara, Mexico
- Led a 4-person team developing AI-assisted pipelines for gamete detection and segmentation in high-resolution microscopy images for IVF clinical workflows.
- Trained and benchmarked 9 transfer-learning architectures for embryo-quality assessment.
- Built a Python inference platform for rapid prototyping of embryologist decision-support tools.
Research Intern
Boston Children's Hospital · FNNDSC · Dr. Kiho Im
Jul 2023 - Jan 2024
Boston, MA
Boston, MA
- Curated and preprocessed ~50 fetal brain MRI volumes from four multicenter datasets for anomaly-detection experiments.
- Developed two PyTorch deep-learning architectures for fetal MRI anomaly detection, contributing to the NeuroImage publication baseline.
- Optimized preprocessing pipelines (bias-field correction, normalization, orientation harmonization) for a 4-month neuroimaging study.
Undergraduate Research Assistant
ITESM · Dr. Rita Q. Fuentes-Aguilar · Advanced Cyberphysical Systems Lab
Aug 2022 - Jun 2023
Guadalajara, Mexico
Guadalajara, Mexico
- Processed 1,526 biosignal recordings and designed 6 ML models for a brain-computer interface study.
- Led a 3-member research team coordinating experiments, documentation, and reproducible analysis.
05
Technical Stack
AI & Machine Learning
LLM APIsRAG PipelinesAgentic SystemsPrompt EngineeringVector DBsPyTorchTensorFlowScikit-learnCNNsGenerative Models
Engineering
PythonSQL (Oracle)FlaskFastAPIDockerREST APIsCI/CDA/B TestingBash
Cloud & Data
AWSAzure AISAP IntegrationPower BIAnalyticsClustering
Biomedical
MRI PreprocessingFetal NeuroimagingEHR DataOCTEEG Processing3D Medical Imaging
Languages
Spanish (native)English (IELTS 8)German (A2)
Certifications
AI Product Mgmt, DukeApplied DS, UMich
06
Selected Projects
Production · 120+ Users
Yachai, GenAI Sales Copilot
Agentic WhatsApp chatbot for pharmaceutical sales representatives. Integrates CRM, ERP, and unstructured data sources into a conversational interface. Scaled from 500 to 4,000+ monthly queries.
Python FlaskLLM APIsOracle SQLDockerRAG
Launch 2026 · 10K Target
Clinical RAG for Physicians
Retrieval-augmented generation combining 10,000+ PubMed studies with proprietary product data. Proactively surfaces product recommendations on relevant physician queries.
RAGPubMedVector DBLLM
Synthetic Identity Infrastructure
personalab
Production-grade synthetic identity infrastructure that enforces facial consistency using embeddings, geometric landmarks, and longitudinal drift tracking.
PythonEmbeddingsComputer VisionSynthetic Data
Startup-style AI Assistant · 2024
Baan
Independent AI assistant project focused on practical healthcare workflows, product discovery, and user experience for conversational support tools.
LLMAssistant UXHealthcare AI
IVF Visual Assistance
gasparin
Django application for an in vitro fertilization visual assistance medical device, supporting clinical workflows around embryo and gamete analysis.
PythonDjangoComputer VisionIVF
Medical Imaging Research
Anomaly Detection
Research code exploring anomaly-detection methods for biomedical imaging and model evaluation in clinical AI contexts.
PythonDeep LearningAnomaly DetectionMedical Imaging
Signal Processing Research
BinauralBeatsResearch
MATLAB research project analyzing binaural beats and auditory stimulation patterns in neuroscience experiments.
MATLABNeuroscienceSignal Processing
CT Image Processing
Visible-light CT Image Processing
Image-processing experiments for visible-light CT data, focused on reconstruction and analysis workflows for biomedical imaging.
MATLABImage ProcessingCTBiomedical Imaging
Brain-Computer Interface
EEG Channel Selection Algorithm
Jupyter Notebook project for EEG channel selection, supporting feature extraction and model development for brain-computer interface research.
Jupyter NotebookEEGBCIFeature Selection
07
Education
B.S. Biomedical Engineering
2020 - 2024
Guadalajara, Mexico
08
Leadership
Lead Organizer
Bagó Desafío IA 2026
Organizing a national healthtech event (60+ attendees, 2 tracks) focused on GenAI for chronic-patients and physicians' health workflows. Managing a 6-person committee and 5 institutional partnerships.
Project Lead
Corporate Innovation Incubator
Cross-functional initiative (IT, BI, Commercial, Marketing, HR) to design and validate a GenAI system. Four prototypes, two major iterations, then transition to production.
Founding Member
WAVESENSE · ITESM
Neuroscience research group. Supported operations, recruitment, and participation in neuroscience-focused hackathons and academic events.
Let's build something
meaningful together.
Open to research opportunities, graduate study conversations, remote health AI roles, LATAM healthcare-AI collaborations, and focused consulting projects.