Building enterprise AI
& teaching how.
Engineering Manager and AI Architect by day. Here I share articles, courses, and hands-on guides on shipping cloud-native AI — distilled from 12+ years building at enterprise scale.
Open to select roles & collaborations — work with me
I ship enterprise AI in production
Agentic systems, LLM platforms, and cloud-native architecture — 12+ years turning hard problems into systems that scale.
I share what I learn building it
Articles, free courses, and hands-on guides on LLMs, RAG, MCP, and shipping AI — so you can build it too.
LLMOps for Engineering Managers
Master the operational side of LLM systems — from inference optimization to production observability, cost control, and quality evaluation.
- RAG systems & retrieval architecture
- LLM inference & cost optimization
- Production observability & evals
Enterprise AI & cloud projects.
A selection of platforms I've architected and shipped — designed for scale, observability, and real business impact.
AI Code Review Copilot
Internal AI copilot that reviews PRs against architecture standards. Reduced review time by 40% across 30+ engineering teams.
Customer Intelligence Data Pipeline
Designed a streaming data lakehouse aggregating signals from 200+ sources for real-time customer 360 analytics.
12+ years shipping at enterprise scale.
Engineering Manager
Leading multi-team engineering org building AI-powered platforms and cloud-native products for global enterprise clients including Herbalife, Kroger, HCA Healthcare, and Al Rajhi Takaful. Driving architecture, hiring, and delivery for 30+ engineers.
Lead Application Engineer
Managed a 10-member team delivering an investment portfolio accounting and rebalancing application. Introduced TDD, increasing delivery speed by ~40%.
Senior Software Engineer
Built components for a high-performance global payments hub used by large global and domestic banks. Conducted code reviews, performance tuning, and defect resolution.
Senior Software Engineer
Built domain and integration logic for an Annuity Operational Data Store consolidating data from multiple enterprise sources. Integrated Spring with IBM MQ via Spring Integration.
Associate Consultant
Developed backend systems and REST services for FedEx shipment processing and a Mercedes-Benz parts reporting platform. Implemented microservices architecture and standardised exception handling.
Software Engineer
Designed and developed RESTful APIs using Spring Boot and JAX-RS, integrating JSON and XML data models for enterprise banking systems. Built automated testing with JUnit and Mockito.
Enterprise AI Knowledge Platform
Taking RAG from prototype to 10,000+ daily users
The Challenge
A Fortune 500 client needed semantic search across 2M+ enterprise documents with sub-500ms response time, strict data residency requirements, and zero tolerance for hallucinated outputs.
The Architecture
Multi-tenant RAG pipeline with hybrid search (vector + BM25 fusion), domain-fine-tuned embeddings, and pgvector on PostgreSQL — eliminating the need for a dedicated vector database and its operational overhead.
Try the AI demo
Ask an enterprise-AI question and see a live, RAG-style answer — a small demo of the patterns I write about.
Click an example question or type your own above.
Production-grade answers in seconds.
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Let's build something remarkable.
Open to engineering leadership roles, advisory engagements, and conversations about AI, cloud architecture, and team building.
Let's build something together
Whether you're scaling an engineering org, launching an AI product, or modernising your cloud platform — I'd love to hear from you.