Introduction

AI Systems · Cloud Architecture · Engineering Tech Leader

I am an engineering leader whose core strength is engineering judgment.

My work focuses on AI system design, cloud architecture, and the delivery of complex, real-world systems.

I care less about which technologies are used, and more about making sustainable, scalable, and operable system decisions under real constraints—time, cost, risk, and organizational capacity.

Problems I Excel at Solving

• Turning AI capabilities (RAG, Agents, Model Serving) into systems that can be shipped, monitored, evaluated, and iterated
• Designing stable architectures for high-concurrency, strong-consistency, and finance- or risk-sensitive systems
• Balancing speed, cost, risk, and long-term evolution in small, resource-constrained teams
• Converting experience and intuition into repeatable engineering methodologies and system capabilities

Technical Capabilities Overview

AI Systems

• Building RAG systems: retrieval strategies, chunking, reranking, answer quality evaluation, and continuous iteration
• Designing Agent workflows: multi-step planning, tool invocation, failure recovery, permissions, and auditing
• Model deployment and serving: inference services, caching, rate limiting, and canary releases
• AI observability: monitoring hallucination rate, answer quality, latency, and cost
• Prompt engineering: templating, versioning, and alignment with business objectives