AI Systems Work
Projects
Shipped multiple production mobile applications used by real users across iOS and Android.
Career Timeline
Application Engineer III
Vanguard
- Engineered Python-based AI service infrastructure on AWS to support scalable agent workflows, integrating Bedrock models, retrieval pipelines, and internal APIs into production-ready systems.
- Built core components of a multi-agent AI system using LangChain and AWS Bedrock to orchestrate agents that gather, synthesize, and analyze enterprise data.— Reduced research turnaround time by up to 3 weeks
- Implemented RAG pipelines using Pinecone and Neptune GraphRAG to provide grounded, context-aware responses from internal knowledge bases and document stores.
- Designed the agent orchestration layer with tool-use patterns, enabling agents to query internal APIs, parse documents, and chain reasoning steps.— Autonomously answering complex business questions
- Shipped AI-powered call center bots that automated customer support workflows and reduced live-agent call volume.
- Built production support observability dashboards for real-time system health monitoring and faster incident triage.
Application Engineer II
Vanguard
- Designed and developed web applications using Angular, Python Lambdas, and Spring Boot for backend services and customer-facing workflows.
- Migrated legacy mainframe data to AWS cloud infrastructure serving users holding over $1 trillion in assets.
- Modernized call center infrastructure, reducing agent call volume and lowering operational costs.
- Acted as Site Reliability Champion, leading system availability, performance monitoring, and incident response.
- Mentored junior engineers, fostering professional growth and improving team productivity.
- Developed and demoed an AWS Bedrock Generative UI POC to leadership.— Led directly to production AI products built from the initial POC
Application Engineer I
Vanguard
- Built a high-value transactions web application with enhanced security and reliability for Vanguard's institutional and retail clients.
- Led delivery of the mobile-responsive Angular experience for the transactions platform.— Enabled secure high-value transactions from mobile browsers across iOS and Android
Technical Skills
Primary Languages
AI & Data
Frameworks & Libraries
Cloud & DevOps
Monitoring & Logging
Certifications
AWS Certified AI Practitioner
Foundational knowledge in machine learning and AI on AWS.
AWS Certified Developer - Associate
Expertise in deploying, debugging, and developing on AWS.
AWS Certified Cloud Practitioner
Foundational cloud concepts, AWS services, security, and pricing.
Education
University of Georgia
2016-2020B.S. in Computer Science
Relevant Coursework: Cyber Security, Linear Algebra, Evolutionary Computation
