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I'm George A. Smith, a Senior AI/ML Engineer and Solution Architect focused on building intelligent systems for healthcare and finance. I lead end-to-end AI development—from model design to production-ready applications—driving user-centric, agentic solutions that empower non-technical founders to leverage advanced technology. I enjoy collaborating across disciplines, mentoring engineers, and delivering scalable ML platforms with robust monitoring, data pipelines, and MLOps best practices. My work blends clinical and financial domain knowledge with cutting-edge NLP, LLMs, and retrieval-augmented generation to deliver actionable insights.…I'm George A. Smith, a Senior AI/ML Engineer and Solution Architect focused on building intelligent systems for healthcare and finance. I lead end-to-end AI development—from model design to production-ready applications—driving user-centric, agentic solutions that empower non-technical founders to leverage advanced technology. I enjoy collaborating across disciplines, mentoring engineers, and delivering scalable ML platforms with robust monitoring, data pipelines, and MLOps best practices. My work blends clinical and financial domain knowledge with cutting-edge NLP, LLMs, and retrieval-augmented generation to deliver actionable insights.

George A. Smith

AI Engineer, AI Developer, Data Scientist, +2

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I'm George A. Smith, a Senior AI/ML Engineer and Solution Architect focused on building intelligent systems for healthcare and finance. I lead end-to-end AI development—from model design to production-ready applications—driving user-centric, agentic solutions that empower non-technical founders to leverage advanced technology. I enjoy collaborating across disciplines, mentoring engineers, and delivering scalable ML platforms with robust monitoring, data pipelines, and MLOps best practices. My work blends clinical and financial domain knowledge with cutting-edge NLP, LLMs, and retrieval-augmented generation to deliver actionable insights.…I'm George A. Smith, a Senior AI/ML Engineer and Solution Architect focused on building intelligent systems for healthcare and finance. I lead end-to-end AI development—from model design to production-ready applications—driving user-centric, agentic solutions that empower non-technical founders to leverage advanced technology. I enjoy collaborating across disciplines, mentoring engineers, and delivering scalable ML platforms with robust monitoring, data pipelines, and MLOps best practices. My work blends clinical and financial domain knowledge with cutting-edge NLP, LLMs, and retrieval-augmented generation to deliver actionable insights.

Available to hire

I’m George A. Smith, a Senior AI/ML Engineer and Solution Architect focused on building intelligent systems for healthcare and finance. I lead end-to-end AI development—from model design to production-ready applications—driving user-centric, agentic solutions that empower non-technical founders to leverage advanced technology.

I enjoy collaborating across disciplines, mentoring engineers, and delivering scalable ML platforms with robust monitoring, data pipelines, and MLOps best practices. My work blends clinical and financial domain knowledge with cutting-edge NLP, LLMs, and retrieval-augmented generation to deliver actionable insights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Lead AI/ML Engineer at Goldman Sachs

December 1, 2022 - June 1, 2026

Led the development of a secure, enterprise-grade AI document processing platform using Python and Hugging Face Transformers to extract and classify data from millions of unstructured documents. Designed and deployed a scalable microservices architecture on AWS with Docker and Kubernetes for high availability and low-latency processing. Spearheaded a proprietary NLP model for sentiment analysis and regulatory monitoring from financial news and internal reports (fine-tuned BERT/Longformer). Led a team of eight engineers building an internal LLM-powered intelligent assistant using Retrieval-Augmented Generation on a vector database to provide context-aware trader responses. Implemented a robust feature store and real-time data pipelines with Kafka and Redis; integrated ML monitoring and automated retraining with Kubeflow; established CI/CD pipelines with GitLab/Jenkins; optimized inference costs via quantization and pruning for TensorFlow Lite.

Senior AI/ML Engineer at Evergreen Healthcare Partners

February 1, 2019 - November 1, 2022

Developed predictive analytics for patient readmission risk, integrated with Epic EHR to deliver real-time risk scores for care teams. Built backend APIs with Django REST Framework and PostgreSQL with HIPAA-compliant data handling. Designed a clinical decision support system using deep learning on longitudinal data to personalize treatment plans. Led data engineering to build a unified data warehouse with Apache Airflow and AWS Glue; pioneered federated learning to train models across multiple sites without centralizing data. Deployed services with Docker and ECS; collaborated with clinicians to validate performance metrics; refactored ML code into modular Python/PyTorch components; migrated a major imaging project from PoC to production with CNN-based analysis for radiology.

Senior Machine Learning Engineer at Revere Health

December 1, 2017 - January 1, 2019

Built end-to-end patient risk stratification using Python, scikit-learn, and Pandas; created high-throughput data ingestion with Apache Spark; developed a Django-based web app for risk visualization; addressed class imbalance in rare disease prediction with SMOTE; managed ML model lifecycle from R&D to Azure deployment; designed a patient similarity matching algorithm using cosine similarity over low-dimensional vectors; integrated ML platform with external data providers via REST APIs; performed performance tuning and documentation; mentored junior engineers.

Senior Python Engineer at WellMed Medical Management

June 1, 2016 - November 1, 2017

Led development of a healthcare management system using Django; built scalable data storage with PostgreSQL and optimized complex SQL queries; designed REST APIs for internal/external integration; migrated monoliths to microservices with Docker; automated data validation/cleansing with Python/Pandas; set up Terraform for IaC; implemented RabbitMQ for asynchronous processing; established testing with PyTest; championed cloud resource provisioning.