AI engineering. Built for your business.

I help companies build AI systems and AWS infrastructure - from agents and RAG to secure integrations, evaluations and reliable operations.

Results delivered

Services

How I can help

Connect AI systems to your business workflows and give your team the engineering foundations to operate them securely and reliably.

Production AI Engineering

Build agents and knowledge systems that work with your tools and data, with control over what they can access and do.

  • RAG and knowledge systems grounded in your documents and data
  • Agentic workflows and tool integrations connected to real business systems
  • Evaluations, observability and guardrails to measure and control behaviour
  • Secure LLM integrations and clear access permissions

AWS Cloud

Reliable AWS infrastructure that your team can scale, maintain and operate.

  • Keep services reliable as demand grows
  • Make infrastructure changes repeatable and easier to review
  • Spot and diagnose operational issues with clear monitoring
  • Protect workloads with secure access and configuration

Case studies

Engineering with measurable results

AI Automation

AWS Bedrock · Spring Boot · Terraform

Email classification and follow-up workflows required substantial manual handling.

Built classification and automated workflows with AWS Bedrock, Spring Boot and Terraform.

~7 min → ~15 sec per email; ~700 → under 25 hours of manual work per month.

RAG System

AWS Bedrock · OpenSearch · Spring Boot

Make Google Drive documents searchable through natural-language questions.

Built a self-hosted system with document ingestion and hybrid BM25 + vector search using Bedrock, OpenSearch and Spring Boot.

Answers with citations, plus token usage and cost monitoring via Grafana.

AI MCP Integration

MCP · MCPO · Analytics

Connect language models to internal tools and data sources.

Built MCP servers to integrate these tools and data sources.

Natural-language queries across multiple systems from a single interface.

Test Cost & Time Reduction

AWS · GitLab CI · Docker

E2E testing cost ~€6,000/month, with long execution times.

Built ephemeral, on-demand test environments using AWS, CI/CD and Docker.

~94% reduction in testing costs; ~83% reduction in test execution time.

Cloud Cost Optimization

FinOps · DevOps · AWS

Identify and reduce AWS waste across the organisation.

Established organisation-wide cost visibility and optimisation through AWS and FinOps practices.

Sustained ~15% reduction in monthly AWS spend.

Identity & Access Services

Spring Security · Okta · OAuth2

Integrated Okta with OAuth2 to centralize authentication across distributed systems, standardizing JWT-based access control and improving security auditability.

Event Streaming Platforms

Spring Boot · Kafka · AWS SQS · AWS Kinesis

Event streaming services that centralize system events and power real-time integrations across large-scale distributed environments.

Distributed Systems

Spring Boot · Event-Driven Architecture · Domain-Driven Design

Distributed platforms built for complex business domains, with a focus on data integrity, event-driven architecture, and operational reliability.

Let’s talk about your project

Whether you’re automating a workflow, connecting agents to internal tools, or strengthening your AWS infrastructure, let’s talk about what you need and where you’re stuck.

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