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Hi, I’m Nick Morales, a Lead ML/MLOps Engineer with a PhD in Computer Science who specializes in NLP, Generative AI, and predictive analytics. I design and deploy end-to-end ML architectures, manage governance and compliance, and drive revenue growth through scalable data platforms and innovative AI solutions. I love collaborating with cross-functional teams to translate complex data into actionable business outcomes and measurable impact. In my roles at Humana and KeyBank, I’ve built and scaled ML systems, mentored engineers, and delivered enterprise-grade features that improve model performance, reduce latency, and automate decision processes. I’m passionate about staying at the forefront of AI advances while ensuring robust governance, security, and explainability.…Hi, I’m Nick Morales, a Lead ML/MLOps Engineer with a PhD in Computer Science who specializes in NLP, Generative AI, and predictive analytics. I design and deploy end-to-end ML architectures, manage governance and compliance, and drive revenue growth through scalable data platforms and innovative AI solutions. I love collaborating with cross-functional teams to translate complex data into actionable business outcomes and measurable impact. In my roles at Humana and KeyBank, I’ve built and scaled ML systems, mentored engineers, and delivered enterprise-grade features that improve model performance, reduce latency, and automate decision processes. I’m passionate about staying at the forefront of AI advances while ensuring robust governance, security, and explainability.

Nick Morales

Data Scientist, AI Engineer, AI Developer, +3

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Hi, I’m Nick Morales, a Lead ML/MLOps Engineer with a PhD in Computer Science who specializes in NLP, Generative AI, and predictive analytics. I design and deploy end-to-end ML architectures, manage governance and compliance, and drive revenue growth through scalable data platforms and innovative AI solutions. I love collaborating with cross-functional teams to translate complex data into actionable business outcomes and measurable impact. In my roles at Humana and KeyBank, I’ve built and scaled ML systems, mentored engineers, and delivered enterprise-grade features that improve model performance, reduce latency, and automate decision processes. I’m passionate about staying at the forefront of AI advances while ensuring robust governance, security, and explainability.…Hi, I’m Nick Morales, a Lead ML/MLOps Engineer with a PhD in Computer Science who specializes in NLP, Generative AI, and predictive analytics. I design and deploy end-to-end ML architectures, manage governance and compliance, and drive revenue growth through scalable data platforms and innovative AI solutions. I love collaborating with cross-functional teams to translate complex data into actionable business outcomes and measurable impact. In my roles at Humana and KeyBank, I’ve built and scaled ML systems, mentored engineers, and delivered enterprise-grade features that improve model performance, reduce latency, and automate decision processes. I’m passionate about staying at the forefront of AI advances while ensuring robust governance, security, and explainability.

Available to hire

Hi, I’m Nick Morales, a Lead ML/MLOps Engineer with a PhD in Computer Science who specializes in NLP, Generative AI, and predictive analytics. I design and deploy end-to-end ML architectures, manage governance and compliance, and drive revenue growth through scalable data platforms and innovative AI solutions. I love collaborating with cross-functional teams to translate complex data into actionable business outcomes and measurable impact.

In my roles at Humana and KeyBank, I’ve built and scaled ML systems, mentored engineers, and delivered enterprise-grade features that improve model performance, reduce latency, and automate decision processes. I’m passionate about staying at the forefront of AI advances while ensuring robust governance, security, and explainability.

Skills

Experience Level

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Intermediate

Language

Afar

Advanced

Javanese

Advanced

Work Experience

Lead ML/MLOps Engineer at Humana

July 1, 2023 - March 1, 2026

Led a cross-functional team of 7 ML engineers to enhance a mission-critical claims processing platform, implementing enterprise-grade MLOps with Azure DevOps CI/CD pipelines, Azure Container Registry, and AKS orchestration. Achieved 25% faster time-to-market for new features and an 8% improvement in model accuracy, while establishing comprehensive model governance and automated compliance reporting. Architected a HIPAA-compliant distributed ETL framework using Apache Spark and Kafka for 50TB+ healthcare data, enabling near real-time analysis with sub-second latency and improved training throughput by 20%. Developed an advanced LLM-based document intelligence system with tool-calling, retrieval-augmented generation (RAG), and domain adaptation, achieving 10% efficiency gains and 99.6% extraction accuracy. Implemented a real-time fraud detection framework combining CNN/LSTM, autoencoders, and graph neural networks to boost detection rates by 7% with FP < 0.5%.

Data and Applied Scientist | Banking at KeyBank

August 1, 2018 - May 1, 2020

Attained a 5% increase in customer retention by creating interactive Power BI dashboards that analyzed customer behavior and informed product offerings. Reduced fraudulent transactions by 10% through real-time analytics with Apache Spark and an XGBoost classifier. Enabled 10% better decision-making in loan approvals and customer segmentation via AI-driven predictive analytics (SVM, AdaBoost). Cut report generation time by 20% by automating data pipelines and visualization workflows in Power BI.

Senior Machine Learning Engineer | Fintech at KeyBank

May 1, 2020 - May 1, 2023

Achieved a 10% improvement in credit risk prediction by optimizing ensemble methods (Stacking, Gradient Boosting) and incorporating LSTM-based deep learning. Reduced false positives in fraud detection by 8% using real-time DL systems (LSTM, SVM). Implemented NLP-assisted customer support automation with fine-tuned GPT, cutting manual handling time and improving user satisfaction. Enhanced model training efficiency by 8% and accelerated feature deployment with scalable pipelines on AWS SageMaker, Lambda, Glue, and S3; mentored junior data scientists to promote best practices across the ML lifecycle.

Senior Machine Learning Engineer at KeyBank

May 1, 2020 - May 1, 2023

Led credit risk model enhancements using ensemble methods (Stacking, Gradient Boosting) and LSTM integrations, achieving a 10% improvement in prediction accuracy. Reduced fraud false positives by 8% with real-time deep learning systems (LSTM, SVM) in PyTorch. Automated customer support ticket handling with a fine-tuned GPT-based NLP system, cutting manual processing time by 70% and improving user satisfaction. Accelerated model training and deployment through scalable pipelines on AWS (SageMaker, Lambda, Glue) with S3 storage and CloudWatch monitoring. Mentored junior data scientists and established ML governance practices.