GS

Open to opportunities

Gary Smith

@garysmith1

I build reliable clinical AI systems and scalable machine learning platforms.

What I'm looking for

I'm looking to join innovative, fast-moving teams where I can take impactful AI products from concept to production, especially in healthcare and other complex domains.

At Abridge, I build the Contextual Reasoning Engine, turning physician-patient conversations into evidence-supported clinical documentation. I reduced response latency by 45% through clinical memory and intermediate reasoning states, while developing evaluation and validation workflows that improve reliability and physician trust.

Previously, I built recruiting platforms at Greenhouse Software, personalization infrastructure for Netflix Axion, and News Feed ranking models at Facebook. I bring experience across healthcare AI, LLM evaluation, machine learning platforms, distributed systems, and production engineering.

Experience

Work history, roles, and key accomplishments

AB

Current

Principal AI System Engineer

Current

Feb 2024 - Present (2 years 6 months)

Contributed to the development of the Contextual Reasoning Engine (CRE), converting physician-patient conversations into accurate, evidence-supported clinical documentation. Designed clinical reasoning workflows and built evaluation frameworks to improve healthcare AI reliability and reduce hallucination risk.

Evidence Based Generation RAG LangGraph Langsmith Prompt Engineering Clinical Context Memory Vector Search Embeddings LLM Evaluation AI Observability GuardRails OpenAI API Claude AI Safety Machine Learning Pipelines Healthcare Data Processing Feature Engineering Model Serving MLOps Model Evaluation Inference Optimization Recommendation Systems Ranking Systems Data Pipelines ETL ELT Spark Hadoop Distributed Training fastAPI Spring Boot REST APIs GraphQL gRPC Microservices Distributed Systems Kafka RabbitMQ Redis PostgreSQL MongoDB Cassandra Database Design AWS GCP Azure Docker Kubernetes Terraform CI CD Infrastructure as Code Cloud Native Architecture Production Systems AI Reliability Engineering Model Governance System Architecture Technical Leadership SLOs Incident Response API Design Code Review Design Evaluation Cross Functional Collaboration Python Java JavaScript TypeScript SQL Go C++Backend Development Software Engineering API Development System Design Software Architecture Object Oriented Programming Design Patterns Flask Django React Next.js MySQL DynamoDB Data Modeling Query Optimization GitHub Actions Jenkins Linux Event Driven Architecture Message Queues Unit Testing Integration Testing Pytest Junit Observability Monitoring Logging Prometheus Grafana Datadog Machine Learning Deep Learning AI Generative AI AI Agents Agentic AI Hugging Face PyTorch TensorFlow scikit learn Vector Databases Pinecone Pgvector ChromaDB ML Pipelines AI Evaluation Data Engineering ETL ELT Apache Spark Hive Healthcare AI HIPAA compliance Agile Scrum Technical

Education

Degrees, certifications, and relevant coursework

NU

North Carolina State University

Bachelor of Science, Computer Science

2012 - 2014

Pursued a Bachelor of Science in Computer Science from 2012 to 2014.

Tech stack

Software and tools used professionally

Availability

Open to opportunities

Location

United States

Authorized to work in

Job categories

Principal Engineer AI Engineer Machine Learning Engineer Software Engineer Backend Engineer Data Engineer MLOps Engineer Solutions Architect Technical Lead Principal Engineering Senior Principal Engineer Principal Design Engineer Technical Principal Engineer Principal Electrical Engineer Principal Technology Engineer Principal Software Engineer Principal Electrical Engineering

Skills

Python Java Node.Js Development TypeScript JavaScript Rust SQL Go C++Agent Architectures AI Agents Large Language Models Clinical Systems Clinical Decision Support Systems Lang Chain LangGraph Langsmith Prompt Engineering Vector Search Embeddings LLM Evaluation AI Observability OpenAI API OpenAI Models Claude Machine Learning Pipelines Feature Engineering Model Serving MLOps Inference Optimization Recommendation Systems Ranking Systems ETL Apache Spark Hadoop RLHF Pipeline fastAPI Spring Boot REST APIs GraphQL gRPC Microservices Distributed Systems Kafka RabbitMQ Redis PostgreSQL MongoDB Cassandra AWS GCP Azure Docker Kubernetes Terraform CI CD React Next.js PyTorch TensorFlow scikit learn Pinecone Pgvector ChromaDB HIPAA compliance System Architecture Technical Leadership Incident Response Mentor GitHub Actions Jenkins MySQL NodeJS Django Prometheus Grafana Pytest Junit GuardRails Mapped GitHub Hugging Face Linux Datadog Temporal Abridge Agentic AI

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