Leonard A.

About Leonard A.

I build systems where intelligence meets infrastructure, designing AI-driven pipelines that transform how organizations operate at scale.As an AI Operations Engineer at Frontline Education, I architect and implement end-to-end AIOps pipelines spanning telemetry ingestion via OpenTelemetry and Prometheus, ML-powered anomaly detection, and autonomous remediation through agentic AI workflows. I build, train, and maintain machine learning models that analyze logs, metrics, events, and traces to detect anomalies, pinpoint root causes, and predict incidents before they impact users. I also evaluate and tune commercial AIOps platforms including Dynatrace, Datadog, Splunk, and Moogsoft, configuring agentic features that enable automatic root cause analysis and self-healing infrastructure.Reliability and security are non-negotiable in my work. I define guardrails for autonomous agents: blast radius limits, rollback triggers, audit logging, and human-in-the-loop approval gates for destructive actions. I integrate AIOps capabilities into CI/CD pipelines, cloud infrastructure, and ITSM platforms via API-driven architectures. My work with Kubernetes, Terraform, and infrastructure as code enables instrumentation of enterprise-scale environments, while exploration of LangChain/LangGraph and RAG-based ChatOps pipelines pushes the boundary of intelligent incident response.My foundation in software engineering was built at Express Scripts by Evernorth, where I led API development across a microservices architecture using Java, Spring Boot, OpenShift, and ArgoCD, with a strong emphasis on authentication, validation, and operational excellence. Prior to that, I championed cloud migration and error logging initiatives as a Data Analyst Engineer at Cigna.M.S. in Computer Science (AI/ML and Data Science) · University of ConnecticutB.S.E. in Computer Science (AI/ML and Data Science) · University of Connecticut

Experience

1. Ai Operations Engineer

   Frontline Education

   Apr 2026 — Present · US

   Driving the automation and modernization of IT operations through artificial intelligence and machine learning at Frontline Education, an AI-first organization transforming how educators work. Designing and implementing end-to-end AIOps pipelines — from telemetry ingestion via OpenTelemetry and Prometheus through ML-powered anomaly detection to autonomous remediation via agentic AI workflows. Building, training, and maintaining machine learning models that analyze logs, metrics, events, and traces to detect anomalies, pinpoint root causes, and predict incidents before they impact users. Evaluating and tuning commercial AIOps platforms including Dynatrace, Datadog, Splunk, and Moogsoft, configuring agentic features that enable automatic root cause analysis and self-healing infrastructure. Integrating AIOps capabilities into CI/CD pipelines, cloud infrastructure, ITSM platforms, and configuration management databases via API-driven architectures. Defining reliability-first guardrails for autonomous agents — blast radius limits, rollback triggers, audit logging, and human-in-the-loop approval gates for destructive actions. Partnering with SRE, DevOps, platform engineering, and cybersecurity teams to align AI-driven operations with business goals. Leveraging expertise in Kubernetes, Terraform, and infrastructure as code to instrument enterprise-scale environments. Exploring agentic AI frameworks such as LangChain/LangGraph and RAG-based ChatOps pipelines to build the next generation of intelligent incident response.

Education

• University of Connecticut

  Master's Degree, Computer Science

• University of Connecticut

  Bachelor of Science in Engineering, Computer Science and Engineering

  2015 — 2020

• The George Washington University

  Associate of Science - AS, Allied Health Sciences

  2008

• University of Hartford

  Master of Business Administration - MBA, Business Analytics