Spec-Driven Development (SDD) | Distributed Systems (Dapr, Ray) | Python, TypeScript

Focus on the engineering of deterministic autonomous systems, high-concurrency agentic loops, and actor-model architectures. Specialized in bridging frontier model capabilities with enterprise-grade distributed infrastructure.

• Distributed Runtimes: State-management and sidecar orchestration via Dapr. Distributed compute scaling and workload parallelization using Ray clusters.
• Orchestration Kernels: Engineering stateful, cyclic graphs via LangGraph and the OpenAI Agents SDK.
• Spec-Driven Development (SDD): Implementation of strict, schema-validated agentic workflows to ensure deterministic execution in production environments.
• Inference Optimization: Architecting hybrid-RAG pipelines, persistent memory layers, and context-window management for high-throughput enterprise systems.

• Distributed Systems: Dapr (State Management/Pub-Sub), Ray (Distributed Execution), Kubernetes (GKE/EKS), Docker.
• Agentic Frameworks: OpenAI Agents SDK, LangGraph, Anthropic Computer Use Protocols, OpenClaw Gateway.
• Data & Memory: Pinecone Serverless, Weaviate (Hybrid Search), Redis Streams, Kafka (Event-Driven Architecture).
• Engineering Stack: Python (FastAPI/Pydantic v3), TypeScript (Next.js 16), Rust (Performance Kernels/Wasm), Go.
• Observability: LLM Monitoring (LangSmith, Helicone), CI/CD (ArgoCD, GitHub Actions), SOC2/GDPR Compliance.

The Handler | Autonomous Orchestration Operating System (AOOS)

• Architecture: Stateful, cyclic orchestration kernel for distributed team automation.
• Implementation: Engineered a deterministic state-machine utilizing LangGraph and Dapr sidecars to manage persistent agentic memory and error-correction loops.

Presenza | Presence-as-a-Service (PaaS) Engine

• Architecture: High-fidelity multi-agent ingestion pipeline for unstructured data synthesis.
• Implementation: Utilized Spec-Driven Development to automate the end-to-end deployment of production-ready digital branding entities.

Enterprise Systems Resilience

• Architecture: Security-first orchestration layer for the identification and automated patching of mission-critical vulnerabilities.
• Implementation: Built a resilient, low-latency stream processing layer using Kafka to handle real-time threat mitigation in distributed environments.

1. Autonomous Local Gateways: Scaling self-hosted, zero-trust agentic loops for enterprise environments using OpenClaw.
2. Deterministic Agentic Workflows: Transitioning from probabilistic reasoning to reliable, schema-validated software execution.
3. Edge Intelligence Scaling: Quantized model deployment for zero-latency local execution via WebGPU and ONNX Runtime.

LinkedIn | Systems Portfolio | Technical Consulting (Toronto)