The Computational Behaviorist: Architecting AI for Clinical Reality

• Philosophy Every LLM interaction should mirror a clinical conversation: precise, auditable, and empathetic.
• Clinical Bio Board-Certified Behavior Analyst and product leader translating supervision, payer, and compliance constraints into systems clinicians trust.
• How to Engage Bring complex workflows, messy data, or ambitious product bets; I’ll design the AI scaffolding, evaluations, and human-in-the-loop rhythms that make them safe and usable.

• LLM Systems for Care Delivery Prompt and agent design, JSON-schema tool calling, refusal and uncertainty handling, evaluation harnesses, and HIPAA-aware logging.
• Data & ETL for Healthcare Ingest PDFs, CSVs, and EHR exports into structured stores; determine math for optimal analytics; implement outcome and adoption dashboards.
• Product & Clinical Quality Workflow mapping, payer-aligned documentation hygiene, KPI design, and clinician-centered UX prototypes.

• ABA documentation co-pilot Designed schema-constrained plans and notes, function calling, and evaluation suites; reduced documentation time ~60–80% in pilot workflows.
• Analytics pipelines ETL from EHR, CSV, and PDF sources into Azure Data Explorer and SQL with product KPI and clinical dashboards that support decision-making.
• Clinician workflow demos Rapid web app prototypes to validate features and UX early and shorten adoption cycles.

• LLM & AI Platform-agnostic prompt and agent design, schema-validated tool use, grounded RAG, embeddings, and similarity search.
• Python & Data Pandas, NumPy, Pydantic, FastAPI prototypes, ETL, PDF/CSV/EHR ingestion, Azure Data Explorer, PostgreSQL.
• Web & UX Web app prototypes that keep clinicians and operations teams in the loop.
• Compliance HIPAA/ePHI minimization, RBAC, audit-ready documentation, de-identification, and telemetry practices.
• Clinical Quality Medicaid and insurer documentation standards, supervision systems, caregiver coaching, and outcomes/KPI-centered design.

• HIPAA-compliant LLM agent architecture for ABA clinics

  Design schema-constrained agents with auditable tool use, PHI minimization, and SOC2-friendly logging patterns tailored to ABA workflows. Includes safety gates, refusal handling, and deployment guidance for teams navigating payer compliance.

  Book HIPAA agent review

• Automated ABA therapy documentation with schema validation

  Implement JSON-validated plan and note templates, align them to insurer rules, and connect RBT, BCBA, and caregiver inputs into one coherent record. Reduces back-office rework while keeping every prompt, output, and revision tied to measurable quality standards.

  Review documentation blueprint

• EHR-to-Azure data lake ETL for healthcare KPIs

  Convert PDF exports, CSV batches, and direct EHR feeds into Azure Data Explorer and SQL layers that power outcomes, adoption, and revenue dashboards. Includes data contracts, anomaly detection, and stakeholder-ready reporting that withstands audits.

  Plan an ETL working session

• Clinician-facing AI copilot evaluation and safety harnesses

  Build evaluation suites that score prompt adherence, hallucination risk, and clinical alignment before releasing assistant features to staff or families. Test results feed into human-in-the-loop workflows so clinicians can trust every suggestion.

  Request evaluation plan

• FHIR Training kit equipping compliance and billing teams for value-based contracts; compiles FHIR resource primers, SMART-on-FHIR sandbox walkthroughs, and payer readiness checklists.
• semantic_tensor_memory Experimental memory system turning time series into navigable memory timelines; leverages PyTorch embeddings, vector search benchmarks, and temporal evaluation scripts.
• n-dimensional-llm Research sandbox for stress-testing high-dimensional world models.

Explore the full GitHub profile

• Co-author “Reinforcement Learning in Behavior Science and AI” (book chapter, forthcoming).
• Prior lab work ARVO abstract in IOVS on proton-coupled folate transporter research for retina health.
• Peer reviewer Journal of the Experimental Analysis of Behavior (JEAB) and The Bulletin (AI/LLM in research).

• Emergent Physical Laws from Self Referential Quantum Information Dynamics (SRQID) SSRN pre-print exploring how self-referential quantum information dynamics may give rise to physical laws.
• Quantum Automaton Tensor Network Universe (QATNU) SSRN pre-print proposing a tensor network universe model grounded in quantum automata perspectives.

• Clinical experience Board-Certified Behavior Analyst (LBA-VA) supporting teams across settings and modalities.
• Education M.S. Counseling (ABA Concentration), Nova Southeastern University; B.S. Biochemistry (Minor: Biotechnology), Virginia Tech.

• LLM architecture & HIPAA-aware workflows Design end-to-end agentic systems for ABA and healthtech products.
• ETL & analytics pipelines Instrument product KPIs, outcomes dashboards, and adoption telemetry.
• Clinical quality playbooks Align documentation, supervision, and payer requirements to sustainable operations.
• Rapid prototyping & handoff Build React/Python demos with evaluation harnesses and clear transition documentation.

• Email [email protected]
• Calendar Book an intro session to explore alignment.
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