Blake Allen

Founded and built a nonprofit from the ground up to protect endangered wildlife and coastal ecosystems along the Esmeraldas coast of Ecuador.

• Established the legal entity as a U.S. 501(c)(3) nonprofit, navigating all regulatory and compliance requirements
• Led direct funding campaigns that resulted in the purchase of over 70 acres of prime Ecuadorian jungle and sea turtle nesting habitat — securing a permanent conservation legacy
• Built and managed all technical infrastructure: organizational email systems, donation processing platforms, donor management, and a public-facing web presence
• Collaborated and coordinated with on-the-ground conservation operations in partnership with puntatortuga.org and environmental stakeholders in Esmeraldas

Co-founded an AI company focused on building personalized generative AI systems designed to support individuals in learning, growth, and well-being.

• Designed and built personalized AI coaching systems using LLMs, leveraging user psychology and personality profiles to tailor experiences
• Developed holistic support frameworks integrating generative AI with evidence-based models in learning science and behavioral psychology
• Led the ML architecture for real-time personalization — adapting content, tone, and recommendations based on individual user context
• Built full-stack platform features across data pipelines, model serving, and user-facing applications

Architecting AI-driven clinical decision support systems that improve patient outcomes in high-acuity care settings.

• Designed NLP models for clinical note extraction and adverse event prediction using transformer architectures
• Led cross-functional engineering team delivering HIPAA-compliant data platform on AWS
• Developed LLM-powered tools to surface actionable care recommendations for clinical teams
• Built end-to-end ML pipelines capable of processing millions of clinical records, reducing time-to-insight
• Established MLOps practices including model monitoring, drift detection, and automated retraining

Delivered data science and software solutions for clients across healthcare, finance, and environmental sectors.

• Built predictive models and dashboards for client-facing analytics products
• Developed React + Python web applications from design through deployment
• Applied ML to environmental datasets to identify conservation-critical habitat zones

Developed skills in statistical modeling, scientific computing, and research methodology.

• Built Python data pipelines for large-scale scientific data processing
• Applied statistical methods to biological and environmental research datasets
• Contributed to open-source scientific computing projects

Launched a full-stack engineering career immediately after graduating, co-founding and joining two early-stage startups — both of which were acquired.

• Co-founded Metamind, building the product and engineering foundation from the ground up; the company was subsequently acquired
• Joined as a founding member of Futureloop, an AI-powered information curation platform that evolved into daily.ai and was also acquired
• Gained deep early-career experience across the full stack — frontend, backend, APIs, databases, and cloud infrastructure
• Operated in fast-moving startup environments, wearing many hats from product engineering to technical strategy

Intensive graduate program focused on the full data science stack — from statistical theory and machine learning to scalable systems and data ethics.

• Coursework in machine learning, natural language processing, and applied statistics
• Deep focus on scalable ML systems, Bayesian inference, and research methodology
• Capstone project applying NLP to healthcare clinical text analysis

Grounded in the biological sciences with early exposure to computational methods — a combination that would later define a career at the intersection of data science and life sciences.

• Core studies in neurobiology, cellular physiology, and systems neuroscience
• Bioinformatics minor covering sequence analysis, genomics, and computational biology
• Research experience in laboratory settings applying quantitative methods to biological data