Frequently Asked Questions
Before You Decide
Why build custom software instead of using an off-the-shelf tool?
Off-the-shelf tools are built for the average business. If your workflows span multiple systems, require domain-specific logic, or have grown past what spreadsheets and generic SaaS can handle, you'll spend more time forcing a product to fit than you'd spend building the right thing. Custom-built software is designed around how your business actually operates, not how a vendor thinks it should. The businesses I work with have typically already tried 2–3 off-the-shelf options before reaching out. Discovery sprints start at $3,000–$6,000, so you can validate the approach before committing to a full build.
What does it cost?
My rate is $150/hour, and most initial engagements are scoped as fixed-phase projects so you know the investment before we start. A typical first phase runs 4–8 weeks. I don't do open-ended hourly billing without a clear scope. You'll always know what you're paying for and what you're getting. For reference: discovery sprints start around $3,000–$6,000, MVPs and pilots $8,000–$20,000, and full platform builds $25,000+.
Why hire a senior solo engineer instead of an agency?
Agencies staff projects with whoever is available. You get a project manager, a rotating cast of junior developers, and a markup on every hour. When you hire me, you get one senior engineer who understands your business context, writes the code, makes the architecture decisions, and is accountable for the outcome. No handoffs, no communication overhead, no "let me check with the team." My longest client relationship is 13+ years and still active. Agencies don't build that.
What types of businesses do you work with?
Primarily SMBs and mid-market companies (roughly 20–500 employees) in industries with domain-specific operational complexity: automotive, environmental services, government, professional services, logistics, and field operations. The common thread is that these businesses have outgrown spreadsheets and disconnected tools, but their workflows are too unique for any generic platform to handle well.
What industries do you have direct experience in?
I've delivered production systems in automotive (documentation platforms, diagnostic visualization, field workflow automation), environmental and government (climate data pipelines, geospatial systems, regulatory data integration), professional services (billing automation, client management, workflow platforms), logistics and field operations (real-time monitoring, multi-system coordination), and enterprise SaaS (multi-tenant platforms, file processing at scale). If your industry has complex operational workflows and domain-specific requirements, there's likely a close parallel in my experience.
How does this compare to hiring a full-time engineer?
A senior full-stack engineer costs $150K–$250K+ per year in salary, benefits, recruiting fees, and ramp-up time, and you're still hoping they can handle architecture, cloud, AI, and database decisions across the full stack. With me, you get senior-level execution from day one with no recruiting cost, no benefits overhead, no ramp-up period, and you only pay for productive hours. When the project is done, there's no severance or idle payroll. Several of my clients use me specifically because they need architecture-level work without a full-time headcount commitment.
What if I'm not sure whether I need custom software?
That's exactly what the discovery call is for. About half the conversations I have end with me recommending a simpler approach: an existing tool, a lighter integration, or a phased plan that starts small. I don't pitch custom builds to people who don't need them. If off-the-shelf will work, I'll tell you.
How do I know you won't disappear mid-project?
Fair question. It's a real risk with freelancers. My track record is the answer: 49+ completed contracts, 100% Job Success on Upwork, 7+ repeat clients, and a 13-year active partnership. I don't take on more work than I can deliver well. I work 25–30 focused hours per week and communicate proactively about timelines, blockers, and capacity. If something unforeseen happened, you'd have working code, full documentation, and a clean handoff at every milestone, but in 11,000+ billable hours, that hasn't happened.
Working Together
What does a typical engagement look like?
It starts with a free discovery call where I learn about your business problem, not your feature wishlist. From there I scope a focused first phase (usually 4–8 weeks) that delivers a working system, not a slide deck. I handle architecture, development, deployment, and handoff. You get a single point of contact from day one through delivery.
How do you handle communication and progress updates?
I provide regular async updates, typically weekly written summaries with demo links or screenshots, plus ad-hoc check-ins as needed. You'll never wonder what's happening. I'm direct about blockers, timeline shifts, and trade-offs. Most clients say communication is one of the strongest parts of working with me.
What happens if the project scope changes mid-build?
Scope changes are normal. They usually mean we're learning something valuable about the real problem. I handle them transparently: I'll flag the change, explain the impact on timeline and budget, and we'll agree on the path forward before any additional work starts. No surprise invoices.
Do you work with existing teams or only solo?
Both. I can operate as a standalone engineer delivering a complete system, or embed with your existing dev team as a senior contributor or architect. I've worked alongside in-house teams, offshore contractors, and other freelancers. I adapt to your tools and workflow: Git, Jira, Slack, Teams, whatever you already use.
Technical
What tech stack do you use?
Primarily .NET/C# and Python on the backend, Azure for cloud infrastructure, SQL Server and PostgreSQL for data, and modern front-end frameworks as needed. But the stack follows the problem. I choose tools based on your requirements, existing systems, and long-term maintainability, not personal preference. If your business already runs on AWS or GCP, I can work with that too.
Can you integrate with our existing systems?
Yes. This is core to what I do. Most of my projects involve connecting multiple systems that weren't designed to talk to each other: ERPs, QuickBooks, CRMs, field devices, third-party APIs, legacy databases, and cloud services. Integration architecture is where a lot of the real value is created.
What does AI integration actually look like in practice?
It's not a chatbot bolted onto your homepage. AI integration means embedding intelligence into your actual business workflows: automated document processing, intelligent data extraction, knowledge-based retrieval from your own data, and multi-system orchestration. I use OpenAI and Azure AI services, RAG pipelines, and vector databases to build AI features that solve real operational problems, not demos.
Investment & Risk
What if it doesn't work out?
I scope work in focused phases specifically so you're never locked into a massive commitment. At the end of each phase you have working code, full source code ownership, and a system documented well enough for another developer to pick up. You can continue, pause, or walk away. There is no long-term contract and no vendor lock-in, and the deliverables are yours regardless.
Who owns the code?
You do. Every line of custom code I write for your project is yours. I don't retain ownership, license it back to you, or hold your codebase hostage. You get full source code, documentation, and deployment artifacts at the end of every engagement.
After Delivery
What happens after launch?
I offer ongoing support and iteration for clients who need it. Most of my long-term clients started with a single focused build and expanded from there. But you're never required to keep me on. The system is built to be maintainable by any competent developer, with clean code, documentation, and standard tooling. If you hire someone else later, they won't be starting from scratch.
Will I be stuck depending on you forever?
No. I build systems with clean architecture, documented code, standard frameworks, and proper deployment pipelines specifically so you're never dependent on a single person. If you want to bring development in-house or hand off to another team later, the codebase will be ready for that. Several of my clients have done exactly this, and some came back anyway.
AI Integration
How reliable is AI integration? What about hallucinations and cost?
I integrate AI where it genuinely solves a business problem, not where it looks impressive in a demo. That means proper cost controls so your LLM spend stays predictable, latency monitoring so user experience doesn't degrade, fallback handling so the system works even when AI responses are unreliable, and security guardrails so sensitive data stays protected. I use production-tested services (OpenAI, Azure AI) and design systems so AI components can be updated, swapped, or removed without rebuilding the entire platform. If AI isn't the right answer for your problem, I'll tell you before we build it.
Will my data be safe with AI integration?
Yes. I deploy AI within your own cloud environment when data sensitivity requires it, use Azure OpenAI and private endpoints to keep data off public APIs, and implement role-based access controls around AI features. Your proprietary data is never used to train third-party models. Specific compliance requirements (SOC 2, HIPAA, GDPR) are addressed in the architecture phase before any code is written.
Still have questions?
The fastest way to get answers is a free 30-minute discovery call. No pitch, no obligation.