Jacob Millsap

Participated in project planning for a GenAI Tax Advisor platform, helping define programming specs, capacity estimates, and infrastructure needs for secure, cloud-native LLM services on AWS (EC2, Bedrock, S3, IAM). Designed, coded, tested, and debugged Python/FastAPI microservices using Docker and Kubernetes, following US-government-style development standards (API-first, versioned interfaces, structured documentation) and achieving 99.8% uptime and sub-300ms p95 latency. Helped maintain consistent DevSecOps practices by enforcing secure coding standards, code reviews, and logging/monitoring requirements, identifying performance and security risks early in the SDLC. Built event-driven components that integrate message queues (Kafka/Redis-style patterns) for asynchronous document processing and notifications, improving throughput and decoupling workflow stages. Implemented and tuned observability for Kubernetes workloads (logs, metrics, traces, dashboards), supporting high observability principles and faster root-cause analysis for production issues. Maintained and enhanced existing services by refactoring modules, revising system documentation and runbooks, and updating operational instructions to keep systems compatible with evolving standards.

Designed, developed, tested, and debugged Java and Python microservices using Spring Boot and REST APIs in an event/message-based architecture with Kafka, supporting $12M+ daily transaction volume. Implemented real-time fraud detection services as secure, API-centric components, integrating BERT models (TensorFlow/PyTorch) with sub-50ms latency into existing payment orchestration flows. Used automated unit and integration tests plus performance tests as part of a CI/CD approach (Jenkins/Git), reducing regression risk and supporting frequent, reliable deployments. Tuned PostgreSQL and Redis usage for transactional workloads, caching, and message state tracking, improving overall throughput and system responsiveness under heavy traffic. Worked closely with team leads, product owners, and external stakeholders in Agile sprints to coordinate project stages, track progress, and keep systems and documentation up to date.

Led migration from monolith to Docker/Kubernetes-managed microservices (12+ services) using Terraform, improving throughput by 30% and achieving 99.9% SLA for banking and healthcare integrations. Designed and maintained RESTful APIs in Python (Django/Flask) and Java, following microservices and secure coding practices, and aligning with SDLC and configuration/change management processes. Set up and maintained CI/CD pipelines with Jenkins and Git, implementing automated build, test, and deploy for multiple environments and enabling zero-downtime releases. Introduced and enhanced observability (logs, metrics, alerts, dashboards) for microservices on Kubernetes, supporting performance tuning and high observability across services. Participated in Agile ceremonies and used Jira/ServiceNow-style tools for change and configuration management, ensuring traceability and proper documentation for production changes.

Developed and maintained Python and Java services and ETL scripts for e-commerce and finance clients, including API integrations and data migrations for high-traffic systems. Built and debugged REST APIs and React components in Scrum teams, following SDLC practices and participating in sprint planning, reviews, and retrospectives. Optimized PostgreSQL queries and schemas for applications supporting 100K+ concurrent users, focusing on performance and reliability. Contributed unit and integration tests for backend components to improve quality and support predictable release schedules.