// Faster & More Direct
Zero account managers, regional directors, or administrative gatekeepers. You work and communicate directly with the senior engineers writing your architecture and core code.
Auxil is a specialized software engineering consultancy and independent product factory, designing, prototyping, building, and rescuing mission-critical SaaS platforms, secure cloud infrastructures, and robust AI pipelines.
Software should be clean and correct, fit-for-purpose and performant. I eschew the procedural overhead that routinely stalls delivery in organizations large and small.
I de-risk by right-sizing architectural patterns to your current and near-future constraints, delivering the complexity required, no more, no less.
I'm Tim Farland, a veteran software architect-engineer and recent startup CTO. Over twenty years I have delivered high-stakes systems across San Francisco, London, Berlin, and New Zealand, in high-velocity VC-backed startups and large corporate platforms alike. That range is where the balance comes from: speed to market without sacrificing the structural integrity that keeps a system maintainable and flexible for years.
For larger engagements I draw on a trusted peer network of senior specialists, so capacity scales without diluting seniority and no project rests on a single pair of hands.
Zero account managers, regional directors, or administrative gatekeepers. You work and communicate directly with the senior engineers writing your architecture and core code.
Traditional consulting firms routinely land contracts with senior partners and staff them with junior graduates who learn on your project. With Auxil, you pay strictly for vetted, senior execution.
Auxil's lean, remote-first setup means your budget goes directly toward technical deliverables, working software artifacts, and production outcomes. Not corporate organizational bloat.
Auxil doesn't deliver generic consulting decks. I have actually built, shipped, secured, and supported real AI products through startups, scale-ups, enterprise, and IP acquisition.
Secure, scalable platforms built from scratch for startups and enterprises alike, engineered to meet the data governance, isolation, and compliance demands of high-stakes sectors.
AI that does real work in regulated environments. I build retrieval and knowledge systems grounded in your own data, with the guardrails and evaluation needed to rely on them in production.
De-risking ambitious ideas before you commit capital. High-fidelity prototypes, due-diligence code audits, and custom algorithms and agent systems that go beyond what off-the-shelf models do out of the box.
Auxil is not an advisory shell. I spend my non-consulting time researching, validating, and shipping proprietary developer tools, SaaS utilities, and AI pipelines.
This dual focus keeps me close to the metal. Every architectural framework I design or implement for you is refined by the day-to-day realities of building, scaling, and maintaining my own commercial software products.
An event capture engine with emergent typed ontology extraction.
A neurosymbolic generative UI layout engine bridging LLMs and deterministic solvers.
A B2B/B2C SaaS product base written in OCaml.
Brought in as CTO to take an AI presentation prototype to a secure production platform, directly enabling the acquisition of its IP by Ideally in 2026. Re-architected an AWS-only lambdalith into a cloud-agnostic, hexagonal system with 3-layer tenant isolation, and evolved the generation engine in two areas: from one-shot to iterative document updates, and a new natural-language-to-SQL query engine.
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Board of Directors, Aether
Designed and built Datapay's Payroll Assistant, a RAG-backed expert system that cross-queries personal, internal org, and public NZ legislation knowledge bases to accurately resolve complex payroll and HR questions. Reference architecture for agentic systems across the wider platform rebuild, and the first piece to market.
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Enterprise Architecture Director, Datacom
One of two senior contractors who brought a mission-critical passage planner in-house from a local agency. Built the features and integrations that unlocked major sales, and cleared inherited defects. The product exited to Trelleborg.
Senior full-stack contractor delivering production features across an ambitious stack connecting AI and gaming.
Moved a backend (.NET) team at an air-quality IoT SaaS into modern frontend delivery, pairing hands-on development and stack strategy with a reusable design system that sped up their UI work.
Solved two architectural and performance bottlenecks blocking high-fidelity, concurrent playback and recording of high-volume live robot telemetry.
Got a stalled, critical project over the line for a virtual ISP, then delivered a system audit and transformation plan to stand up their new in-house software team.
Took a mall companion app from concept to market quickly, introducing two European agency teams (Estonia and Norway) to React Native.
Audited a React Native app and delivered a prioritized improvement plan with worked, expository code the team could act on.
Senior developer on the React Native team, shipping key features in a demanding environment, fixing critical codebase issues, and upskilling the team. Acquired by Camplify.
Built the bulk of a video counselling platform serving people in war-torn regions, subcontracting to a Berlin studio.
Senior engineer on a customer-experience feedback SaaS, building core admin screens and authoring the custom interpreter modules behind its feedback automation.
Senior engineer on a sports video-analysis platform, building custom analytical overlays that drew performance metrics directly onto raw browser video frames.
Click any note to open the full technical briefing.
The pitch is that AI can shoulder most of the data cleanup, leaving structure as the real problem. The reality is that AI carries one layer of a stack of six, and the rest stays slow, contextual, and human. What AI fixes, what it cannot, and what to build instead.
Prompt injection is the confused-deputy bug in modern dress. The architectural fix is older than the problem: authority travels with the request, narrowed at every hop, and decided by deterministic policy, not by the model.
Three layers (SaaS chassis, engine, vertical) and two pivot points between them. The strategy that keeps the cost of swinging again bounded, for founders still in the search problem.
The case for unstructured idleness as a working discipline. Why boredom is the input most software, startup, and product work is starved of, and why blocks of it are a necessity rather than a luxury.
If you are looking for a reliable, competent, efficient Principal Architect or Engineer for scoped, delivery-focused contracting or advisory, reach out.