Senior AI/ML Engineer
Resume:
Daniel Marijn Goossens
Senior AI & Data Engineer — Healthcare AI
******.************@********.*** Columbus, OH
Summary
Senior AI/Data Engineer with 12+ years architecting production grade AI systems, retrieval pipelines, and distributed data platforms across regulated healthcare environments. Specializes in agentic workflow design, hybrid retrieval architectures, LLMOps, and high reliability data engineering. Builds deterministic, auditable, and safety critical AI systems with end to end ownership across architecture, data infrastructure, AI integration, deployment, observability, and operational resilience. Professional Experience
Senior AI/ML Engineer
AdventHealth
05/2024 – 02/2026 Altamonte Springs, FL
Architected the enterprise’s first agentic AI platform and retrieval ecosystem, enabling multi region clinical automation.
•Designed a multi stage agentic orchestration framework using LangGraph with deterministic state transitions, scoped tool invocation, and persistent workflow memory to enforce predictable, auditable behavior.
•Engineered a HIPAA compliant RAG architecture integrating Azure AI Search, FAISS, and Pinecone with BM25+dense hybrid retrieval, cross encoder reranking, and confidence threshold gating.
•Implemented mandatory citation enforcement, retrieval quality scoring, and multi tier fallback logic for degraded retrieval conditions.
•Developed internal LLMOps systems for semantic drift detection, prompt regression testing, hallucination scoring, and evaluation gated deployments.
•Integrated LangSmith and Weights & Biases for experiment tracking, cost analytics, and longitudinal performance monitoring.
•Conducted STRIDE threat modeling and deployed defenses against prompt injection, tool call exfiltration, and context leakage.
•Deployed microservices on Kubernetes with distributed tracing, structured logging, and retrieval/generation telemetry.
Impact: Delivered a production agentic platform operating across five hospital regions, reducing manual coordination workload and enabling audit ready AI assisted clinical workflows. Senior AI & Data Engineer / AI Platform Engineer
FEI Systems
08/2020 – 03/2024 Columbia, MD
Led AI and data engineering initiatives supporting claims adjudication, clinical data processing, and multi cloud ML infrastructure.
•Built agentic adjudication workflows using LangGraph with multi turn reasoning across FHIR, CCDA, clinical notes, and PDFs.
•Implemented Redis backed workflow memory enabling fault tolerant case resumption and long running state persistence.
•Engineered distributed data pipelines using PySpark, Airflow, and dbt across AWS, Azure, and GCP, with MLflow managing model lifecycle and reproducibility.
•Designed high availability inference services with autoscaling, circuit breakers, exponential backoff, and structured error classification logic.
•Delivered observability dashboards using Prometheus and Grafana with per model latency, token usage, throughput, and error rate instrumentation.
•Integrated LLM decision support into legacy enterprise systems via FastAPI sidecar services.
•Translated ambiguous clinical requirements into state machine specifications, retrieval architectures, and evaluation criteria.
•Mentored junior engineers on RAG evaluation, secure LLM integration, and production grade ML engineering.
Impact: Eliminated documentation gap failures and reduced adjudication rework through resilient, multi source reasoning pipelines.
Software Engineer — AI Integration
3 SIDED CUBE
02/2017 – 05/2020 Washington, D.C
Built the data foundation enabling the company’s first ML and AI initiatives.
•Designed ETL pipelines for CCDA, HL7 v2, and claims data, consolidating fragmented clinical sources into a normalized warehouse.
•Built ingestion frameworks with idempotency keys, retry policies, and dead letter queues.
•Led a zero downtime migration of on prem ETL to AWS using Lambda, Step Functions, RDS, and Terraform.
•Implemented SOC2 aligned data handling patterns.
•Developed FastAPI and Flask services with robust error handling and structured logging.
•Improved data quality, lineage tracking, and multi source ingestion reliability.
•Collaborated with clinical teams to define data models, validation rules, and ingestion logic. Impact: Delivered a production grade clinical data foundation that enabled the organization’s first ML models and analytics initiatives.
Python Developer
Prolink
06/2014 – 12/2016 Columbus, OH
Contributed to backend systems powering clinical portals and patient management workflows.
•Developed backend APIs and modules using Python, PostgreSQL, and SQL Server.
•Built document ingestion and retrieval features including PDF parsing, text extraction, and keyword search.
•Resolved a long standing production deadlock through query optimization and connection pooling.
•Improved data access patterns and reduced query latency.
•Enhanced document indexing and retrieval accuracy.
•Strengthened backend reliability through structured logging and error handling improvements. Impact: Stabilized production systems and delivered a retrieval foundation used in later clinical platforms. Education
Bachelor’s degree in Computer Science
Ohio Dominican University
01/2010 – 02/2014 Columbus, OH
Skills
•AI & Agents: RAG, LangChain, LangGraph, agentic state machines, tool invocation, memory persistence
•Retrieval: FAISS, Pinecone, Azure AI Search, BM25+dense hybrid search, cross encoder reranking
•Data Engineering: PySpark, Airflow, dbt, Kafka, Redis, PostgreSQL, Snowflake
•Cloud & Platform: AWS, Azure, GCP, Kubernetes, Docker, Terraform, FastAPI
•Security: HIPAA, HITRUST, STRIDE, PII redaction, RBAC, Secrets Management
•LLMOps: LangSmith, MLflow, Weights & Biases, drift detection, prompt regression, cost tracking
•Languages: Python (expert), SQL (expert), TypeScript, Go, Bash Soft Skills
•End to end ownership — drives architecture, delivery, and operational reliability.
•Systems level thinking — understands interactions across data, AI, and platform layers.
•Clear technical communication — conveys complex systems with precision and clarity.
Contact this candidate