Custom applications, cloud infrastructure, AI automation, and DevOps — delivered as a senior engineering partner.

Your team spends significant time on manual, repetitive processes — data entry, report generation, lead qualification, document processing, internal research — that should be running automatically.

Design and build production-grade AI automation and AI-enabled applications: intelligent document extraction pipelines, LLM-powered decision workflows, multi-step AI agents, internal knowledge bases using RAG, and AI-enabled SaaS or internal tools — integrated with your existing backend systems and cloud infrastructure.

Operations teams with repetitive workflows, startups wanting to use AI practically, businesses with large document or knowledge management challenges.

Cloud costs are climbing without explanation. Infrastructure is undocumented. Reliability depends on one person's knowledge. Nobody is confident in what would happen during a failure.

Full infrastructure audit and optimisation: compute right-sizing, cost structure analysis, security configuration review, reliability assessment, documentation, and architecture improvements — so your systems support business growth instead of limiting it.

Startups with growing AWS bills, businesses preparing for funding or due diligence, teams whose infrastructure knowledge is concentrated in one or two people.

Releases are slow, manual, and carry operational risk. Engineers avoid deploying late in the week. Rollbacks are painful. The team's velocity is constrained by deployment anxiety rather than engineering capacity.

Automate the full release process — from code push to production — with CI/CD pipelines (GitHub Actions, GitLab CI), infrastructure as code (Terraform), staging environment parity, zero-downtime deployment on AWS, and automatic rollback on failure. Eliminate manual steps and give your team a reliable, repeatable way to ship at any scale.

Engineering teams deploying manually or with fragile pipelines, businesses where release frequency is lower than desired, startups preparing to scale their operations.

You need a reliable, scalable custom application — a backend API, SaaS platform, internal enterprise tool, or workflow system — and the engineering quality has to match your business ambitions. Prototype-grade code that needs a rewrite at scale is not an option.

End-to-end design and development of custom business applications: REST API and backend system architecture, SaaS platform development, internal enterprise tooling, workflow automation systems, and AI-enabled applications — built with production-grade standards, deployed on AWS or equivalent cloud-native infrastructure, and documented for long-term maintainability.

Businesses needing a production-grade custom backend, SaaS product, internal enterprise tool, or AI-enabled application built by a senior engineer with cloud and DevOps expertise included.

Major infrastructure, AI, and architecture decisions are being made without senior technical input. The cost of wrong decisions compounds quickly — and becomes expensive to reverse.

Senior engineering leadership on a monthly retainer: weekly architecture and strategy reviews, AI and infrastructure roadmap guidance, technical hiring and vendor evaluation support, and a senior engineering voice in product and business decisions — available without the cost of a full-time hire.

Founders making technical decisions without a CTO, startups between engineering leaders, businesses that need senior technical input but not a full-time hire.