Professional Overview
As an MD and Biomedical AI Specialist, I merge clinical expertise with advanced Machine Learning. As a certified IBM Data Analyst, I excel in rigorous data validation, NLP, and RLHF. Multilingual in English, Spanish, and Portuguese, I optimize and scale complex clinical AI models to ensure global deployment, accuracy, and safety.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Labeled and classified high volumes of image, voice, and text data for AI models
- Collaborated on cross-cultural adaptation and native Spanish voice recording
- Improved dataset quality to support the development of multimodal models.
- Implemented custom Python scripts for systematic data review and auditing.
Key Achievements / KPIs
- Increased data validation speed by 20%.
- Ensured model fluency and naturalness in native Spanish outputs.
- Improved dataset quality for accurate multimodal models.
- Streamlined AI workflows utilizing custom Python scripts.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Evaluated and optimized AI-generated outputs for clinical data processing.
- Conducted QA audits and medical data validation using Labelbox and Parimango.
- Ensured compliance with advanced medical terminology and CDI standards.
- Applied advanced clinical reasoning to refine multimodal AI models.
- Provided expert RLHF to significantly reduce model hallucinations.
Key Achievements / KPIs
- Achieved a 15% increase in NLP model accuracy.
- Processed an average of 400+ complex medical tasks weekly.
- Reduced model hallucinations through expert human feedback.
- Elevated overall AI annotation quality for healthcare datasets.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed and executed Inbound Marketing campaigns using HubSpot.
- Authored specialized B2B content to optimize strategic communication.
- Utilized Google Analytics and email automation to track campaign performance.
- Directed medical B2B content strategies utilizing advanced terminology.
Key Achievements / KPIs
- Increased client retention by 20%.
- Achieved 10,000 monthly views on specialized B2B content.
- Optimized strategic communication via targeted B2B copywriting.
- Executed successful inbound email marketing campaigns via HubSpot.
Education
Field of Study: Data and AI Data Analysis
Field of Study: Marketing
Field of Study: Medicine
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
