Bobby Ray

Lead development of an enterprise AI platform using Python, Go, Kubernetes, and AWS for LLM-powered applications, intelligent automation, and internal AI assistants. Build Django, Node.js, and TypeScript services with REST and GraphQL APIs, along with React and TypeScript interfaces for AI-powered workflows. Develop reusable AI orchestration components, RAG services, document-processing pipelines, embeddings, vector search, and agent-based automation. Design scalable full-stack application flows, improve API and database performance, and manage deployment workflows using Docker, Kubernetes, Helm, Terraform, and CI/CD. Implement observability with Prometheus, Grafana, OpenTelemetry, and centralized logging while mentoring engineers and collaborating with product, design, data, and infrastructure teams.

Developed scalable Python and Django backend services for distributed data processing, automation workflows, and enterprise applications. Built Node.js, TypeScript, React, and MERN-style application features with REST-based integrations and responsive user interfaces. Optimized PostgreSQL and MongoDB workloads through indexing, query improvements, caching, and efficient data access. Implemented event-driven workflows with Apache Kafka and RabbitMQ for real-time ingestion and asynchronous processing. Used Docker and Kubernetes for consistent development and deployment environments, supported CI/CD automation, contributed to MLOps workflows, and improved reliability through structured logging, metrics, monitoring, and performance analysis.

Developed and maintained web applications using HTML, CSS, JavaScript, jQuery, Bootstrap, PHP, Laravel, Redis, and MySQL. Created RESTful API endpoints for mobile and web applications, with a focus on scalability, performance, and reliable communication between services and clients. Optimized Laravel applications for high traffic, conducted load testing and performance profiling, and resolved application bottlenecks. Used Postman and Insomnia for API testing and debugging, implemented API versioning for backward compatibility, and applied Git-based version control to support team collaboration and deployment efficiency.