Raleigh-Durham-Chapel Hill Area
I’m a backend engineer who spends most of my time dealing with the infrastructure behind AI platforms. My sweet spot is distributed systems, strict security compliance, and user facing frontend work. In past roles, I realized that building a cool AI model doesn't mean much if it breaks data privacy rules or is too frustrating for internal teams to use. Because of that, I don't just hide in the backend writing Python and setting up AWS pipelines. I regularly jump into the frontend to build the actual tooling and dashboards needed to make complex architectures functional and secure. I like moving systems past the "experimental" phase into prod software that legal, product, and engineering teams can all trust.
AI governance frameworks to ensure compliance and ethical use of AI technologies in media content fraud, AI detection. ETL. Reusable Architectures. Advanced AI developement platform engineering. Agentic AI Core and CMS, React/Next/Typescript/Python/Erlang/C++ FastAPI, MySQL, Otel, Service Oriented Architecture, Managed cloud services such as Bedrock, IAM, EventBridge, STS, SQS, and CloudTrail to optimize model traceability and performance. Terraform. Security, Dependency, Cost, Risk reduction. SAM.gov procurement, contracts, execution. Small Business engineering e2e consulting.
Built and supported Python and Go microservices for IBM Cloud storage services in a production Kubernetes environment with CI/CD, deployment automation, rollback support, and release coordination meet and exceed SLA and SLO metrics. Participated in on call rotations, production triage, incident response, ServiceNow ticket lifecycle, and root cause analysis for cloud service operations. Used Splunk, logs, telemetry, deployment state, tracing, and integration testing to diagnose runtime behavior and improve operational readiness.
- Contributed to design and operation of Kubernetes-based microservices in Python and Go, supporting production cloud services with defined SLO/SLA targets in file and block storage - Owned CI/CD pipelines for containerized services, supporting build, deployment, and rollback. Participated in on-call rotations, incident response, and root cause analysis, contributing to service
- Developed real-time C++ avionics software for F-35 mission systems, supporting pilot-facing tactical displays in certification-aware, safety-critical environments. - Led automation of build, test, and instrumentation pipelines to improve DO-178 A/B compliance efficiency, reducing manual certification effort and engineering cycle time. - Established full statement and branch coverage with traceable artifacts through LDRA-based analysis and toolchain integration, enabling repeatable verification and audit readiness. - Strengthened certification and compliance workflows across mixed-language environments spanning
Built and operated backend systems supporting a large, multi-year enterprise automation program, emphasizing reliability, rollback capability, and performance profiling in production environments. - Led refactoring of monolithic applications into service-oriented architectures, introducing clearer service boundaries and API-based integrations to improve scalability and maintainability. - Strengthened development workflows and SDLC automation, reducing friction in build, test, and deployment processes across distributed teams. - Mentored and onboarded engineers, contributing to technical consistency, shared ownership of production systems, and team capability growth.