Open to opportunities

David Jacinto

@davidjacinto

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Senior AI engineer specializing in production ML, LLMs, computer vision, and MLOps.

United States

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What I'm looking for

I seek roles building production AI/LLM systems with strong MLOps, cross-cloud deployment, and measurable business impact in collaborative, engineering-driven teams.

I am a Senior AI engineer with deep experience deploying machine learning models, LLM applications, computer vision solutions, and generative AI across cloud and edge environments. I have led end-to-end projects that implemented RAG, agent-based frameworks, MLOps/LLMOps practices, and scalable microservices to deliver measurable business impact.

My work has reduced manual effort, improved model reliability and grounding, and increased throughput and engagement through productionized prompt engineering, vector search, optimized inference, CI/CD pipelines, and observability. I am AWS Certified and experienced across AWS, GCP, and Azure, with a strong focus on delivering portable, cost-effective, and monitored AI systems.

Experience

Work history, roles, and key accomplishments

AI Lead

Cherrington Media, LLC

Aug 2024 - Nov 2025 (1 year 3 months)

Led development and production of a Generative AI platform and microservices that reduced manual marketing content creation by 70% and increased weekly content throughput 4x, while improving first-pass approval by 35% through RAG and vector search.

Generative AI RAG fastAPI Docker Kubernetes Vector Search

Senior AI Engineer

Huxley

May 2023 - Jul 2024 (1 year 2 months)

Built RAG-based retrieval pipelines and an LLM-powered digital health assistant that improved helpfulness by 30% and program adherence by 25%, and implemented agent-based workflows reducing escalation by 20%.

RAG LlamaIndex fastAPI TensorFlow PyTorch Vector Search MLOps

AI/ML Engineer

Global CPG Company

Feb 2022 - May 2023 (1 year 3 months)

Developed large-scale data pipelines and look-alike audience models that improved targeting lift 10–15% and conversion efficiency 8%, and operationalized production scoring and MLOps to halve deployment failures.

Python scikit learn ETL CI CD Docker Kubernetes Model Monitoring

ML Engineer

Hellbender

Feb 2019 - Feb 2022 (3 years)

Built computer vision models and scalable pipelines processing 5M+ images and 10K+ video hours, optimized GPU inference to achieve 2–3x throughput and reduced p95 latency by up to 50%.

Computer Vision PyTorch TensorFlow Onnx TensorRT fastAPI Kafka

ML Engineer

Credit Suisse

Aug 2016 - Jan 2019 (2 years 5 months)

Delivered enterprise ML systems for financial crime detection and NLP-based negative news screening that improved risk coverage 30% and reduced false positives 15–25%, while improving pipeline throughput 2x.

scikit learn Pyspark NLP Anomaly Detection ETL Docker CI CD Model Monitoring

Education

Degrees, certifications, and relevant coursework

University of California, Santa Cruz

Bachelor of Science, Artificial Intelligence

Completed a Bachelor of Science in Artificial Intelligence with coursework and projects focused on machine learning, AI algorithms, and applied AI systems.