# Juan Acosta
juan@acosta-li.com | 512-222-9438 | Austin, TX | linkedin.com/in/juan-acosta-556a39108

## SUMMARY

AI architect and data science leader who takes systems from prototype to production in regulated environments. Architected and built Project LOOM, a clinical trial documentation system validated and tested by Duke Clinical Research Institute, alongside production multi-agent systems for oncology summarization and payor appeals. Previously led a 10+ person data science organization and built a startup's professional services arm into a profitable line of business, delivering ML that served 2M+ daily predictions across 10M+ Medicare and Medicaid lives and contributed to $81M+ in Medicare Trust Fund savings.

## PROFESSIONAL EXPERIENCE

Acosta-Li LLC — Founder & Principal Consultant
*October 2024 — Present*
- 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.

Health Universe — Director of Data Science
*October 2024 — July 2026*
*(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.

Babson Diagnostics — Senior Manager, Data Operations
*April 2024 — August 2024*
*(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.

ClosedLoop.ai — Manager, Data Science
*June 2021 — March 2024*
*(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.

Perfaware — Software Engineer
*July 2020 — June 2021*
- Built scalable backend systems for pharmacy curbside pickup and order management during COVID-19.

Project SEED, University of Texas at Austin — Data Researcher
*2018 — 2020*
- Developed and deployed a regression model for pediatric prehypertension prediction integrated into clinical decisions.

## SELECTED RECOGNITION & PUBLICATIONS

- 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.

## EDUCATION

- M.S. Computer Science — Boston University
- B.S. Mathematics | B.A. Economics — The University of Texas at Austin

## TECHNICAL SKILLS

**GenAI & agentic systems:** Multi-agent orchestration (A2A protocol, Google ADK, MCP, LangGraph), LLM routing (LiteLLM), RAG and hybrid retrieval, fine-tuning (medical NER), evals (inspect-ai), observability (Langfuse), inference cost optimization
**Healthcare data:** FHIR, HL7, X12 EDI 837/835, ICD-10, CPT/HCPCS, LOINC, SNOMED, RxNorm, EHR integration, HIPAA/PHI-aware design
**ML & data science:** PyTorch, Hugging Face Transformers, scikit-learn, TensorFlow, Spark, SHAP, drift and bias monitoring
**Platforms & cloud:** Python, TypeScript, SQL, R, Rust — FastAPI, Next.js, React, Svelte — PostgreSQL, MongoDB, Snowflake, AWS (SageMaker, Lambda, S3), Azure (Azure OpenAI, Cosmos DB), GCP (Vertex AI, BigQuery), Docker, Kubernetes, GitHub Actions

## ALSO

Mù Coffee ATX — Co-Founder & Director of Coffee
*February 2025 — Present*
- 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.

Baruta FC — Venezuelan liga FUTVE — Professional Soccer Player (Left Wing)
*2009 Season*