Juan Acosta

juan@acosta-li.com• 512-222-9438• Austin, TX

Technical leader specializing in architecting and deploying end-to-end AI/ML systems from prototype to production scale. Led technical delivery for 30+ enterprise clients, managing full lifecycle from requirements to deployment. Built production GenAI systems (A2A, MCP) and ML infrastructure serving 2M+ daily predictions across healthcare and finance, delivering $81M+ in measurable outcomes. Experienced in distributed training, real-time ML systems, and cross-functional leadership.

Professional Experience

Director of Data Science
Health Universe
October 2024 — Present
  • Build multi-agent systems using Google's ADK and MCP; automate clinical trial documentation, oncology summaries, and medical data extraction.
  • Lead pre- and post-sales client engagements, translating executive-level and contractual deliverables into actionable engineering and data-science workstreams.
  • Fine-tune LLMs for medical NER to support patient summaries, prior authorizations, and recruitment.
Founder & Principal Consultant
Acosta-Li LLC
August 2024 — Present
  • Deliver AI/ML, ETL pipelines, forecasting dashboards; lead cybersecurity analytics initiatives.
  • Manage 4 data scientists and 2 project managers across healthcare and finance engagements.
Senior Manager, Data Operations
Babson Diagnostics
August 2022 — August 2024
  • Deployed real-time ML for algorithmic platelet counting (Docker, MongoDB, Python) integrated with LIS payloads on VMware.
  • Led pipelines for order tracking, sample lifecycle, and financial monitoring with capacity for 1,000+ daily samples.
  • Built real-time integration linking Sysmex analyzers, databases, and Salesforce across clinical sites.
Manager, Data Science
ClosedLoop.ai
June 2021 — August 2022
  • Technical advisor for 30+ enterprise clients from pre-sales through deployment; led requirements, demos, and exec briefings.
  • Architected distributed ML pipelines on AWS (SageMaker, Jenkins CI/CD) powering 2M+ daily predictions across concurrent deployments.
  • Designed predictive models for disease progression and admissions contributing to $81M+ in Medicare savings.
  • Built EHR/FHIR → SQL pipelines with feature engineering and cohort logic in Python; developed drift/bias monitoring.
  • Contributed to Best in KLAS recognition (2021–2023) for Healthcare AI/ML.
Software Engineer
Perfaware
July 2020 — June 2021
  • Built scalable backend systems for pharmacy curbside pickup and order management during COVID-19.
Data Researcher
Project SEED, University of Texas at Austin
2018 — 2020
  • Developed and deployed a regression model for pediatric prehypertension prediction (REDCap, SPSS, Stata, SQL), integrated into clinical decision-making.

Non-Technical Experience

Co-Founder & Director of Coffee
Mù Coffee ATX
February 2025 — Present
  • Co-founded specialty coffee shop showcasing Chinese-inspired drinks; oversee operations, finance, and performance tracking.
Professional Soccer Player (Left Wing)
Baruta FC — Venezuelan liga FUTVE
2009 Season
  • Competed at a professional level during the 2009 season.

Education

Skills

Foundation Models & GenAI

LLM Orchestration (LiteLLM, LangChain), Agentic Workflows (Google ADK, OpenAI Swarm), Fine-tuning (medical NER), Prompt Engineering, Cost Optimization, RAG, MCP

ML & Data Science

TensorFlow, PyTorch (CUDA/GPU), Scikit-learn, Pandas, NumPy, Distributed Training, Custom Model Monitoring, Bias Detection, Ensemble Methods

Cloud Architecture & Infrastructure

AWS: SageMaker, Lambda, EC2, S3, Jenkins CI/CD
GCP: Vertex AI, Cloud Run, BigQuery
Infra: Docker, Kubernetes, VMware, MongoDB, PostgreSQL, Snowflake

Programming & Development

Python, Java, SQL, Spark, R, FastAPI (production APIs), Streamlit, RESTful API Design

Data Engineering & Pipelines

EHR/FHIR Integration, Real-time Data Processing, ETL Design, Feature Engineering, Apache, System Design

Last updated: October 2025