Open to opportunities

David Iyere

@david_mendiola

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Staff AI engineer building production GenAI, LLM systems, and AI agents.

United States

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What I'm looking for

I’m looking to build and scale production GenAI: RAG + AI agents, strong evaluation/observability, and clear paths from pilot to rollout. I want teams that value model reliability, enterprise readiness, and cross-functional execution.

I’m a Staff AI/MLEngineer and LLM Systems Architect with 14+ years designing and scaling production AI systems across enterprise, cloud, and applied machine learning environments. I specialize in GenAI platforms, AI agents, RAG, prompt engineering, model evaluation, MLOps, and cloud AI infrastructure.

At OpenAI (2018–2026), I led enterprise GenAI architecture engagements for Fortune 500 companies and high-growth startups, designing production LLM applications and ChatGPT-based workflows. I architected retrieval-augmented generation systems and multi-step assistant/agent workflows using OpenAI APIs—reducing unsupported or low-confidence AI responses by 20–25% and improving task completion rates by 15–20%.

I consistently move initiatives from pilot to production by partnering with engineering, product, data, and security teams on architecture, model selection, evaluation criteria, monitoring, and rollout plans—reducing pilot-to-production timelines by 25–30%. I also implement model evaluation and observability practices (e.g., Evidently AI and custom pipelines), improving reliability and reducing model iteration time by 35–40%.

Experience

Work history, roles, and key accomplishments

Senior AI Solutions Architect

OpenAI

Jan 2018 - Jan 2026 (8 years)

Led enterprise GenAI architecture efforts, designing production LLM applications and ChatGPT-based workflows across customer support, knowledge search, analytics, and workflow automation. Reduced unsupported/low-confidence responses by 20–25% and cut pilot-to-production timelines by 25–30% through RAG, evaluation, monitoring, and agent orchestration.

GenAI Architecture RAG Prompt Engineering LLM Evaluation Evidently AI Tool Function Calling

Senior Software Engineer

Amazon Web Services (AWS)

Jan 2015 - Jan 2018 (3 years)

Delivered scalable AI/ML solutions on AWS, establishing architecture standards spanning SageMaker, Rekognition, Lex, Docker, Kubernetes, and production ML systems. Increased recommendation click-through rates by 15% and reduced training/iteration time by 40% by implementing containerization, CI/CD, and repeatable deployment standards.

AWS Sagemaker Amazon Lex A B Testing Docker Kubernetes CI CD Predictive Analytics

Machine Learning Engineer

Various Clients

Jan 2012 - Jan 2015 (3 years)

Architected and implemented custom machine learning, NLP, computer vision, and remote conversational AI systems for startups and SMBs. Managed end-to-end ML lifecycles and delivered chatbots and REST API services, improving classification accuracy by 20% and helping clients launch AI-driven products within three months.

Machine Learning NLP Computer Vision Conversational AI Python TensorFlow REST APIs Model Evaluation