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I am a senior AI/ML engineer with 10+ years of experience designing and building production-grade machine learning systems across consumer technology, cloud infrastructure, and financial services. I specialize in end-to-end AI development—from data engineering and model training to production deployment and MLOps—delivering scalable, observable, and measurable business impact. I’ve led architecture decisions, built Retrieval-Augmented Generation systems, and collaborated with risk, compliance, operations, and product teams to embed AI across platforms. I’m passionate about solving hard engineering challenges and delivering reliable, high-performance AI systems that users trust.…I am a senior AI/ML engineer with 10+ years of experience designing and building production-grade machine learning systems across consumer technology, cloud infrastructure, and financial services. I specialize in end-to-end AI development—from data engineering and model training to production deployment and MLOps—delivering scalable, observable, and measurable business impact. I’ve led architecture decisions, built Retrieval-Augmented Generation systems, and collaborated with risk, compliance, operations, and product teams to embed AI across platforms. I’m passionate about solving hard engineering challenges and delivering reliable, high-performance AI systems that users trust.

Justin Morgan

AI Engineer, Data Scientist, Full Stack Developer, +1

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I am a senior AI/ML engineer with 10+ years of experience designing and building production-grade machine learning systems across consumer technology, cloud infrastructure, and financial services. I specialize in end-to-end AI development—from data engineering and model training to production deployment and MLOps—delivering scalable, observable, and measurable business impact. I’ve led architecture decisions, built Retrieval-Augmented Generation systems, and collaborated with risk, compliance, operations, and product teams to embed AI across platforms. I’m passionate about solving hard engineering challenges and delivering reliable, high-performance AI systems that users trust.…I am a senior AI/ML engineer with 10+ years of experience designing and building production-grade machine learning systems across consumer technology, cloud infrastructure, and financial services. I specialize in end-to-end AI development—from data engineering and model training to production deployment and MLOps—delivering scalable, observable, and measurable business impact. I’ve led architecture decisions, built Retrieval-Augmented Generation systems, and collaborated with risk, compliance, operations, and product teams to embed AI across platforms. I’m passionate about solving hard engineering challenges and delivering reliable, high-performance AI systems that users trust.

Available to hire

I am a senior AI/ML engineer with 10+ years of experience designing and building production-grade machine learning systems across consumer technology, cloud infrastructure, and financial services.

I specialize in end-to-end AI development—from data engineering and model training to production deployment and MLOps—delivering scalable, observable, and measurable business impact. I’ve led architecture decisions, built Retrieval-Augmented Generation systems, and collaborated with risk, compliance, operations, and product teams to embed AI across platforms. I’m passionate about solving hard engineering challenges and delivering reliable, high-performance AI systems that users trust.

Skills

Experience Level

Expert

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Expert

Work Experience

Senior AI Engineer at Mercury

May 1, 2023 - Present

Led the design and deployment of AI-driven risk intelligence systems supporting customer onboarding, fraud detection, transaction monitoring, and financial crime prevention across Mercury's banking platform. Built ML models using transactional, behavioral, and account-level signals to improve risk assessment and reduce manual reviews. Architected real-time decision services generating risk scores during account creation and payment events. Created graph-based identity resolution and relationship pipelines to uncover hidden connections among accounts, devices, businesses, and activity. Developed Retrieval-Augmented Generation (RAG) systems enabling investigators and compliance teams to rapidly access policies, historical cases, and regulatory documentation. Built internal copilots to automate investigation summaries and policy interpretation. Established model monitoring and evaluation frameworks covering drift detection, explainability, and production reliability. Partnered with Risk,

Senior AI Engineer at Grafana Labs

March 1, 2019 - April 1, 2023

Remote-led development of AI-powered observability solutions that transform telemetry data into actionable operational intelligence. Designed anomaly detection and alert-correlate systems to reduce fatigue and speed up root-cause analysis. Built incident-prediction models, service-health scoring, and operational risk assessment. Implemented semantic search and knowledge retrieval for dashboards, runbooks, and historical incidents. Developed transformer-based NLP for incident summarization and ticket classification. Created large-scale telemetry pipelines and established MLOps standards for deployment, monitoring, retraining, and lifecycle management. Collaborated with Platform Engineering, SRE, and Product teams to embed AI into observability workflows. Built graph-based entity resolution pipelines to uncover hidden connections between accounts, devices, businesses, and payments.

Machine Learning Engineer at Meta

August 1, 2015 - February 1, 2019

Led development of large-scale ML models powering content ranking, recommendations, and personalization. Designed NLP and information retrieval pipelines for ranking and search, built data-processing and experimentation workflows, and collaborated with product and research teams to ship impactful AI features.