Looking for a job

David Jacinto

@davidjacinto

Message

Senior AI engineer delivering production-grade ML systems and generative AI platforms.

United States

Message

What I'm looking for

I seek roles building production AI systems with end-to-end ownership, strong engineering practices, responsible AI, and cross-team impact.

I am a Senior AI Engineer with nine years building production ML systems and generative AI platforms across fintech, healthcare, and enterprise. I take end-to-end ownership of data pipelines, model development, evaluation, APIs/SDKs, and cloud deployment, emphasizing pragmatic engineering, clean architecture, and maintainability.

My work includes shipping unified Python and TypeScript SDKs, designing microservices and CI/CD deployments on Kubernetes, and implementing RAG, agentic systems, and observability that measurably reduce incidents and developer integration time. I prioritize responsible AI, robust evaluation, and cross-team adoption to deliver reliable, scalable AI products.

Experience

Work history, roles, and key accomplishments

Senior AI Engineer / Team Lead

Hippocratic AI

Nov 2023 - Nov 2025 (2 years)

Built safety-first, voice-first agents using LangGraph for non-diagnostic outreach, education, and care navigation with nurse escalation and EHR connectivity.
As a senior engineer and tech lead, I owned architecture and delivery for agent reliability, safety evaluation, and production readiness.

LlamaIndex Vertex AI fastAPI Kubernetes Python Redis BigQuery CI CD Lang Chain

Senior Machine Learning Engineer

Mostly AI

Jun 2021 - Dec 2022 (1 year 6 months)

• Built synthetic data generation and validation pipelines with PyTorch and FastAPI, enabling enterprises to share data while lowering privacy risk.
• Improved synthetic tabular data quality for multi-table schemas and constraints. Delivered 8~15% uplift in downstream model utility (AUC/MAE depending on task) vs baseline anonymization on internal benchmarks.

PyTorch Sagemaker Airflow fastAPI Redis BigQuery SHAP LIME CI CD Dataflow

Machine Learning Engineer

Credit Suisse

Aug 2016 - Apr 2021 (4 years 8 months)

• Built operational ML systems for compliance, KYC, and risk workflows using feature stores, MLflow, and ETL pipelines, delivering auditability and reliability that met internal governance standards
• Deployed NLP pipelines (classification, entity extraction, semantic retrieval) to reduce manual review workload 20~30% in pilot compliance/risk operations.