Open to opportunities

Jacob Martinez

@jacobmartinez1

I build production agentic AI, GenAI, and ML platforms across healthcare, finance, cybersecurity, and consumer technology.

United States

Message

What I'm looking for

I'm looking to lead the architecture and production delivery of governed agentic AI, GenAI, and ML platforms, partnering across teams to improve reliability, efficiency, and real-world outcomes.

At Elevance Health, I architect reusable GenAI and agentic AI platforms for Sydney Health and member-service initiatives, reducing duplicated engineering across four teams and improving workflow latency and inference cost. I build governed RAG, multi-agent workflows, GPU-backed LLM serving, evaluation standards, and LLMOps systems for healthcare operations.

Previously, I delivered conversational payments analytics and fraud models at JPMorgan Chase, multimodal precision-oncology ML at Tempus AI, security analytics at CrowdStrike, and speech, ranking, and on-device ML improvements for Siri at Apple. I enjoy leading architecture decisions, mentoring engineers, and moving reliable AI systems from experimentation into governed production.

Experience

Work history, roles, and key accomplishments

Current

Staff AI Engineer

Current

Elevance Health

Sep 2024 - Present (2 years)

Architected a reusable GenAI and Agentic AI platform on Amazon EKS, reducing duplicated engineering across AI initiatives. Accelerated prior-authorization review and reduced after-call documentation effort through AI-assisted workflows and production multi-agent systems.

GenAI Agentic AI Amazon EKS LangGraph RAG LLM Inference VLLM KServe MLOps LLMOps Kubernetes Docker Terraform CI CD MLFlow S3 FHIR OCR BM25 Reranking MCP Google ADK A2A Triton ONNX Runtime Evaluation Monitoring

Senior AI Engineer

JPMorgan Chase & Co.

Aug 2023 - May 2024 (9 months)

Built GenAI conversational analytics for treasury, cutting turnaround by ~60%. Fine-tuned Llama 2 and Mistral for domain QA and developed fraud/AML risk models.

RAG Text To SQL fastAPI LLaMA 2 Mistral QLoRA PyTorch Hugging Face Sagemaker BM25 Embeddings XGBoost LightGBM PySpark EMR Redshift Airflow MLFlow Docker Kubernetes

Senior Machine Learning Engineer

Tempus AI

Oct 2021 - Jun 2023 (1 year 8 months)

Designed production multimodal ML pipelines for precision oncology, reducing dataset prep time by ~30%. Trained predictive models for biomarker workflows and led ML engineering for the EDGE platform.

Python PySpark BigQuery GCS XGBoost scikit learn SHAP PyTorch CNN OpenSlide Kubernetes Docker Airflow MLFlow GCP SQL OncoKB Transformers RAG

Data Scientist, Machine Learning & Security Analytics

CrowdStrike

Apr 2020 - Sep 2021 (1 year 5 months)

Trained malware classifiers improving recall by ~7% and built distributed telemetry pipelines reducing dataset prep time by ~28%. Developed vulnerability-risk models and supported production ML pipelines.

Gradient Boosting XGBoost SHAP Kafka S3 EMR Spark PySpark SQL Feature Engineering Threat Intelligence AWS

Applied AI/ML Engineer

Apple

Oct 2017 - Mar 2020 (2 years 5 months)

Trained deep neural acoustic models for Siri, improving recognition by ~7%. Implemented ranking and language-model features and optimized production models for lower latency.