Open to opportunities

Aaron Chatman

@aaronchatman

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Full-stack AI engineer specializing in LLMs, RAG pipelines, and scalable systems.

United States

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What I'm looking for

I seek remote roles building scalable AI systems—LLM agents, RAG, and data pipelines—within collaborative, product-focused teams that value clear communication and continuous delivery.

I am a full-stack AI engineer with hands-on experience building backend services, frontend interfaces, microservices, and LLM-based agents that power retrieval-augmented generation and prompt-engineering workflows. I have delivered high-throughput, event-driven architectures integrating Kafka, vector databases (FAISS, Pinecone), and cloud platforms (AWS, GCP, Azure) to improve retrieval performance, reduce latency, and enable real-time data ingestion.

I have led architecture and deployment of containerized AI services on Kubernetes and serverless platforms, mentored junior engineers, and coordinated cross-team efforts to align product and engineering goals. My projects include enterprise RAG agents, job recommendation engines, and healthcare compliance dashboards that emphasize scalable design, monitoring, and regulatory-aware data pipelines.

Experience

Work history, roles, and key accomplishments

Full Stack AI Engineer

Accenture

Jul 2024 - Dec 2025 (1 year 5 months)

Designed and deployed LLM-based agents, RAG pipelines, and RESTful microservices serving 100,000+ daily requests; improved retrieval latency by 25% and implemented Kubernetes-based CI/CD and Kafka event streaming.

Lang Chain Python Flask fastAPI Faiss Pinecone Kafka Kubernetes CI CD

Full Stack Engineer

Outdefine

Oct 2021 - Mar 2024 (2 years 5 months)

Built backend APIs and Agentic AI services using LangChain and RAG for contextual resume recommendations, deployed ML services on AWS Lambda and GCP Vertex AI, and reduced API latency by 20%.

Lang Chain fastAPI LangChain OpenAI API Pinecone Kafka AWS Lambda Vertex AI Databricks

Full Stack Developer

Centene Corporation

Feb 2020 - Jul 2021 (1 year 5 months)

Developed RESTful APIs and dashboards for healthcare workflows, ensured HIPAA compliance across ETL and AI pipelines, and deployed microservices on AWS and Azure with monitoring and alerting.

Flask React Kafka Airflow Databricks AWS Azure Prometheus Grafana

Web Developer

ThreadBast

Dec 2017 - Nov 2019 (1 year 11 months)

Implemented Node.js/Express APIs and Dockerized microservices on AWS ECS, integrated Redis and PostgreSQL to cut request times by 25%, and built ETL pipelines for customer analytics.

Node Redis PostgreSQL Docker AWS ECS Kafka Apache Spark

Education

Degrees, certifications, and relevant coursework

Augusta University

Bachelor of Science, Computer Science

2013 - 2017

Completed a Bachelor's degree in Computer Science with coursework and projects focused on software engineering, data processing, and AI/ML applications.