I specialize in bridging the gap between robust infrastructure and intelligent automation. My work focuses on building Durable AI Agents and scaling mission-critical workloads across multi-cloud environments.

• Orchestration: LangChain, LangGraph, Temporal.io SDK (Durable Execution).
• Models: Fine-tuning Mistral, Hugging Face, OpenAI/Claude API integration.
• Vector Ops: FAISS, ChromaDB, Pinecone, RAG Optimization.
• Agent Patterns: Tool-calling, Multi-agent collaboration, Self-correction loops.

• Infrastructure: Kubernetes (EKS, GKE, AKS), Terraform, AWS CDK, Docker.
• Architecture: High-Availability Data Center design, Disaster Recovery, Hybrid Cloud.
• Managed Services: AWS Lambda, Amazon Aurora, Azure AD, Google Cloud Run.
• Monitoring: OpenTelemetry, Prometheus, Grafana.

• Languages: Python (FastAPI, Django, PyTorch), Go, TypeScript.
• Database: PostgreSQL, Redis, MongoDB, Vector Databases.

Developing resilient AI agents using Temporal.io to manage long-running stateful executions. By combining LangChain with Temporal, I ensure that complex AI reasoning tasks are fault-tolerant and human-in-the-loop ready.

Building a high-precision parser leveraging PyTorch and Hugging Face (Mistral). This project focuses on hybrid search and cross-encoder re-ranking to extract structured data from unstructured career documents.

Leading the architecture for multi-tenant SaaS platforms, focusing on automated provisioning and scaling ML services for high-traffic applications.

• LinkedIn: linkedin.com/in/joelwembo
• Website: prodxcloud.com
• Email: [Your Email Here]

"Building systems that don't just run, but think and endure."