Senior Cloud & DevOps Architect & AI/LLM Engineer • 13+ Years Experience

I design and scale cloud-native infrastructures across AWS, GCP, and Kubernetes, and I build production LLM / GenAI applications on top of them. Currently shipping AI products on Anthropic's Claude, running AI automation workflows, and building Databricks data pipelines.

Transcribez — AI transcription, translation & CV-tailoring SaaS built on Anthropic's Claude. Live in production with 600+ users and ~100+ hours of audio processed through the LLM pipeline. Prompt engineering, structured/segment outputs, multi-language translation, anti-hallucination guardrails, and model routing (Sonnet/Haiku) for quality-vs-cost.

Cloud Architecture    →  Multi-cloud design on AWS & GCP, cost optimization, security
DevOps & Platform     →  Terraform, GitOps, CI/CD pipelines, zero-downtime deployments  
Kubernetes            →  Production clusters (EKS/GKE), Helm, operators, service mesh
Data Engineering      →  Databricks, Spark ETL, Airflow, streaming pipelines
AI/ML Engineering     →  Inference APIs, MLOps, TensorFlow, PyTorch
LLM / GenAI           →  Production apps on Claude, prompt engineering, structured
                         outputs, RAG, agents/tool-use, evals, cost & latency tuning

Cloud & Infrastructure

Languages & Frameworks

Data & ML

LLM / GenAI

• Transcribez — AI transcription, translation & CV-tailoring SaaS on Claude; live in production with 600+ users and ~100+ hours of audio processed through the pipeline
• AI Automation — Enterprise-grade customer engagement and agentic (MCP tool-use) workflows
• Data Platform — Databricks lakehouse with streaming ETL pipelines
• Observability — OpenTelemetry collectors with multi-backend routing
• Platform Engineering — Self-service developer tooling and GitOps workflows

FinTech • EdTech • Cybersecurity • Telecom • Government • Logistics • E-commerce

_{Open to consulting, architecture reviews, and interesting infrastructure challenges. Reach out at smbugua11@gmail.com}