Michael Chad Everett

Defined production-grade agent architecture for financial workflows by separating reusable Agent SDK primitives from domain-specific logic (context construction, retrieval, tool calling, state management, escalation, and controlled human handoff). Implemented agentic workflows for transaction analysis, service operations, and risk-sensitive decisions with workflow orchestration, deterministic validation, recovery paths, and auditable state transitions. Built secure service boundaries with authorization checks, input validation, idempotent commands, structured errors, and traceable downstream actions using Python, Java, REST APIs, and SQL. Improved resilience and consistency for transaction-heavy workloads using PostgreSQL, Redis, queues, concurrency controls, and retry policies. Established evaluation practices (regression detection, deterministic checks, simulation testing, production traces, and human review) to catch quality degradation before changes impacted sensitive operations.

Developed healthcare-oriented service workflows using Python and SQL/PostgreSQL, structuring patient and clinical information into contexts that supported reliable retrieval, validation, review, and downstream operational decisions. Contributed to agent architecture patterns for multi-step healthcare operations using context construction, retrieval, tool calling, state management, and explicit escalation paths for cases needing clinician/operator judgment. Applied agentic workflows to eligibility and risk-oriented processes while enforcing authorization rules, policy checks, traceable inputs, and human handoff procedures. Supported model evaluation through dataset construction, simulation testing, deterministic checks, reviewer feedback, and production observations to distinguish model limitations from incomplete context/tool failures/workflow defects. Improved reliability via structured logging, observability, distributed tracing, retry handling, and incident analysis to make failur

Built backend services using Python, Java, SQL, and REST APIs by translating requirements into endpoints, validation rules, database operations, and documented integration contracts. Supported distributed systems reliability using queues, asynchronous jobs, retry behavior, and failure handling. Designed relational data models in PostgreSQL and optimized queries for operational workflows with indexes, transaction boundaries, and structured schemas. Added unit and integration test coverage for APIs, service logic, persistence operations, and error paths. Used Git and CI/CD for incremental releases and consistent build/deploy processes. Containerized services with Docker, implemented service monitoring and basic observability through structured logs, health checks, error tracking, and operational dashboards, and investigated Linux-based production issues by reproducing defects, reviewing logs, and escalating with clear technical findings. Improved recoverability and visibility by propos