Greater Jackson Area
I'm an AI Application Engineer with 6+ years of experience turning data and large language models into reliable, production-grade software. My focus is building AI-powered applications LLM integrations, retrieval-augmented generation (RAG), and the APIs and pipelines that support the with strong software engineering fundamentals underneath. Day to day, I work hands-on with LLMs (OpenAI, Anthropic/Claude), design RAG systems backed by vector databases like Pinecone and FAISS, and build the REST APIs and services that put those models to work. I care about prompt engineering, response quality, and shipping things that hold up in the real world. I also use AI-powered development tools (Claude, Cursor) daily for code generation, review, debugging, and documentation and I'm a strong believer in using AI to raise engineering productivity and software quality across a team, not just in isolated projects.
Build AI-powered application features in Python, integrating LLMs (OpenAI, Anthropic/Claude) into production data and retrieval workflows. Develop RAG pipelines with vector databases (FAISS/Pinecone) for semantic search and knowledge retrieval. Design and expose REST APIs and microservices (Flask) for model inference and downstream integration. Deploy and operate services on AWS (integrated with Azure/GCP) using Docker, Kubernetes, and CI/CD; manage collaboration through Git/GitHub. Apply prompt engineering and AI workflow patterns to improve reliability of LLM-driven features, within enterprise security and governance standards.
Developed backend data services and pipelines in Python and PySpark with reusable, well-tested modules. Built and integrated REST APIs; automated workflows with Apache Airflow. Deployed cloud-native solutions on AWS and optimized Snowflake performance; implemented CI/CD and Git-based delivery.
Designed scalable pipelines in Python and PySpark integrated with Azure and AWS. Worked across the ML lifecycle with MLflow, Databricks, and SageMaker; built ETL workflows with Airflow.