Rafaela Bagur Quetglas Email & Phone Number

San Jose, Ca, Us

Sunnyvale, California, Us

My experience lies at the convergence of artificial intelligence, machine learning (AI/ML), and product development, driving innovation in the tech industry. I excel at translating technical advancements into tangible product outcomes, from ideation to launch, in dynamic and high-growth environments.AI Product Innovation: Led the full lifecycle development of a virtual AI assistant, launching it within 4 months by integrating Retrieval-Augmented Generation (RAG), prompt engineering, and guardrail strategies to ensure robustness and scalability.Automated Evaluation Expertise: Co-led the design and deployment of an automated evaluation framework, optimizing product performance through data-driven decision-making with a focus on jailbreak protection, factual grounding, and response quality.Cross-Functional Leadership: Successfully managed collaborations across Security, Legal, Regulatory, and subject matter experts (SMEs), ensuring the product met ethical standards, privacy requirements, and delivered an optimal user experience through human evaluation.

Sunnyvale, California, Us

Sunnyvale, California, Us

My experience encapsulates the intersection of data science, artificial intelligence/machine learning (AI/ML), and product management within the health technology sector. My ability to bridge the gap between technical teams and product management is crucial for driving projects from concept to launch in any fast-paced, innovation-focused environment.* Data-Driven Innovation: Led the research of the Health Tracks feature, transforming intricate genetic and lifestyle data into accessible, personalized health insights.* AI/ML Proficiency: Experience in machine learning models to refine health predictions and enhance user experience. My work building LLM prototypes showcases my ability to quickly adopt new AI/ML technologies, relevant to any tech-driven health product development.* Cross-Functional Collaboration: Proven success in collaborating with diverse teams, aligning product development with scientific research, user experience, engineering, and market viability.

Sunnyvale, California, Us

In my role as Data Scientist at 23andMe, I have leveraged complex genetic, lifestyle, and wearable data to drive innovative health product development. I successfully launched 7 Polygenic Risk Score Reports and introduced a groundbreaking feature for wearable data collection, showcasing my ability to transform intricate data into engaging, user-centric solutions. My leadership in fostering collaboration among R&D, design, and engineering teams has set a high standard for interdisciplinary teamwork, underpinned by my adept communication of complex ideas to technical and non-technical stakeholders.

San Francisco, Ca, Us

- Built a model to detect Parkinson’s symptoms with 96% of precision and recall based on handwriting samples while providing data science consultation services for Pear Therapeutics- Engineered new features from spiral drawings and trained several classifiers including Random Forests and Logistic regression models. These new features could be used as disease severity predictors according to unsupervised clustering analysis

Philadelphia, Pa, Us

Study the mechanism by which human exposure to environmental factors is linked to cancer. Created new genetically-targeted sensors via molecular cloning to monitor molecules that play a crucial role in cell injury.- Experienced in sequence analysis using Vector NTI Advance and NCBI BLAST- Developed new scripts using Matlab and SigmaPlot for microscopy data analysis- Contributed in the renewal of NIEHS grant for 3 years and $1,500,000 in grant funding- Skilled in oral presentations for scientific conferences and in seminars of 20+ people- Managed 2 scientific projects, one of which was in collaboration with 8 co-workers- Designed and created illustrations for a scientific review article

38058, Fr

Study the mechanisms underlying heart failure, focusing on the impact of myocardial ischemia-reperfusion on mitochondrial metabolism.- Applied advanced mathematical and statistical analysis to interpret respirometric and confocal microscopy data, resulting in 2 publications as a first author- Collaborated in several projects, resulting in 3 publications and 1 book chapter- Trained and mentored 3 master students in laboratory techniques and data analysis- Skilled in design of experiments, animal experimentation and lab techniques such as: immunocytochemistry, electron microscopy, respirometry, fluorometry and western blot

Doctor Of Philosophy - Phd, Biochemistry

Master Of Science - Ms, Biohealth Computing

Bachelor'S Degree, Chemistry