Kenneth Oshio
AI Systems Engineer
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About
AI Systems Architect specializing in designing and deploying production-grade, cloud-native AI applications using modern LLM frameworks, API-driven architectures, and scalable backend systems. Proven ability to translate abstract AI concepts into fully operational systems, including agent-based workflows, RAG pipelines, and real-time analytics platforms. Strong experience building end-to-end AI products across backend, orchestration, and frontend layers using Python, FastAPI, and modern web frameworks.
Architect of THE13TH, a multi-tenant AI intelligence platform delivering automated lead processing, analytics, and decision support systems. Deep understanding of AI system design patterns, including retrieval-augmented generation (RAG), event-driven workflows, and modular service architecture. Experienced in designing systems for scalability, reliability, and maintainability, with production deployment considerations baked in from inception.
Experience
Founder & AI Systems Architect at THE13TH (Present)
Designed and built a multi-tenant AI-powered operational intelligence system for real-world business workflows.
- Architected full system from scratch: Backend services (FastAPI), AI processing pipelines, Frontend dashboards (React), Multi-tenant data architecture
- Built AI-driven lead processing system: Automated ingestion of inbound leads, LLM-based classification, enrichment, and scoring, Structured output pipelines for downstream analytics
- Implemented RAG-based intelligence layer: Context-aware responses using structured + unstructured data, Retrieval pipelines for decision support
- Designed agent-style workflow orchestration: Multi-step AI processes across ingestion → processing → analytics → output, Modular, extensible architecture for new AI capabilities
- Developed real-time analytics dashboards: KPI tracking, Conversion pipelines, Operational visibility for business users
- Engineered system with: Scalability (multi-tenant design), Maintainability (modular services), Production reliability (error handling, logging, structured pipelines)
AI Systems Engineer
Built automation pipelines integrating AI into business workflows (Zapier / API-based orchestration).
- Designed event-driven automation systems connecting APIs, email systems, and AI processing layers
- Implemented LLM-powered email parsing and response systems
- Built workflow orchestration pipelines using external triggers and AI decision logic
- Developed systems focused on real-world operational efficiency, not experimental AI
System Architect
Designed an internal AI-assisted execution system for structured business operations (Business Execution & Decision System).
- Built decision-support workflows powered by AI
- Structured systems for: Task execution tracking, Performance feedback loops, Strategic planning assistance