Juan Acosta

• Lead development of Lucy, a multi‑agent strategy advisor for postsecondary transformation (Google ADK, Azure OpenAI, A2A) — institution matching across 7,000+ NCES records, transformation‑stage inference, and semantic retrieval over a curated research corpus. AI tools for education at the Bill & Melinda Gates Foundation, subcontracted through Alithi Management Consulting (December 2025 – present).
• Advise Sylvan Labs on applied AI (January 2026 – present); engagement expanded into hands‑on delivery in 2026.
• Built and maintain Atlas Mineral for Alpax, a B2B SaaS platform for precious metal order reporting and tracking running $1M+ monthly.
• Prior engagements include SpyCloud (supply chain attack vulnerability), Capital Pulse (financial risk and forecasting), and Beheld. Manage a bench of 4 data scientists and 2 project managers.

Began as a client engagement through Acosta‑Li; full‑time April 2025 – July 2026.

• AI architect and primary developer of Project LOOM, an i‑Cubed Center clinical trial documentation system validated and tested by Duke Clinical Research Institute — generates protocols, manuals of procedures, safety plans, and recruitment materials as one consistent set, detecting contradictions introduced by edits.
• Built an oncology summarization system that ingests complete patient records, disambiguates among multiple primaries, and assembles a full clinical history per cancer.
• Built an agent‑to‑agent clinical appeals system that submits and appeals pathology invoices to payors, pre‑screening justifications for likely denials and surfacing supporting evidence from patient history.
• Led pre- and post-sales client engagements; fine-tuned LLMs for medical NER supporting patient summaries, prior authorizations, and trial recruitment.

Client of ClosedLoop.ai from 2022; joined full‑time in 2024 to complete the program.

• Developed and operationalized the algorithmic platelet assay — real‑time ML (Docker, MongoDB, Python) taking small‑volume platelet counting from research prototype to commercial launch — with integrations linking Sysmex analyzers, LIS, and Salesforce; led pipelines for order tracking, sample lifecycle, and financial monitoring at 1,000+ daily samples.

Reported directly to the CEO as a non‑voting member of the executive team; no CTO in place.

• Led the data science organization (10+ data scientists, engineers, and project managers) and built the professional services team into a profitable line of business; technical advisor for 30+ enterprise clients from pre-sales through deployment.
• Architected distributed ML pipelines on AWS (SageMaker, Jenkins CI/CD) powering 2M+ daily predictions; built EHR/FHIR → SQL pipelines with feature engineering, cohort logic, and drift and bias monitoring.
• Designed predictive models for disease progression and admissions contributing to $81M+ in Medicare savings; platform took Best in KLAS for healthcare AI/ML, 2021–2023.

• Built scalable backend systems for pharmacy curbside pickup and order management during COVID-19.

• Developed and deployed a regression model for pediatric prehypertension prediction integrated into clinical decisions.

• Model work presented at the Heart Failure Society of America and the American Diabetes Association; published in the Journal of Cardiac Failure.
• Preventative health programs built on this work recognized by NAACOS; coverage in the Wall Street Journal.
• Best in KLAS, Healthcare AI/ML (ClosedLoop.ai), 2021–2023 — ranked above Epic and Cerner.
• Project LOOM validated and tested by Duke Clinical Research Institute.

• Co-founded a specialty coffee shop and importer of Chinese coffee, running sourcing and import logistics end to end; oversee operations, finance, and performance tracking.