Services
Every engagement starts with the same question: What is the real problem?
I don't sell hours or feature lists. I solve business problems with custom-built software, and every service below follows the same model: understand the business constraint first, then design the right technical solution.
Most engagements combine 2–3 of these services.
A typical path: discovery sprint → MVP or pilot → full platform build → ongoing partnership. The discovery call figures out the right sequence for your situation.
| Service | Best for | Timeline | Starting at (USD) |
|---|---|---|---|
| Custom Platform Build | Replacing manual workflows at scale | 3–12 months | $25,000 |
| AI Integration | Document processing, knowledge retrieval | 1–6 months | $10,000 |
| Cloud Architecture | Reducing cloud spend, modernizing infra | 2–8 weeks | $5,000 |
| Full-Stack Platform | Ground-up application development | 3–12 months | $20,000 |
| MVP / Pilot | Validating a concept fast | 3–6 weeks | $8,000 |
| Advisory | Architecture decisions without a FTE | Ongoing | $2,500/mo |
Investment ranges are estimates. Final pricing depends on project scope and complexity.
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Custom Business Automation Platform
The problem
Your team is losing 10–20+ hours per week to manual data entry, document handling, report generation, and reconciliation across disconnected tools. You've outgrown spreadsheets, but your workflows are too specific for any off-the-shelf SaaS.
The outcome
Manual admin work eliminated. Revenue leakage from missed billing and data errors stopped. Operations scale without adding headcount.
Typical investment: $25,000+ depending on complexity and duration. Phased delivery so you have working software at each milestone.
See full details: approach, deliverables, and ideal fit
The solution
A single, integrated platform that replaces manual steps with automated capture, processing, reporting, and billing, designed around how your business actually operates, not how a generic product thinks it should.
What you walk away with: Deployed production system · Full source code ownership · Architecture documentation · Runbook for your operations team
Best fit: Operations leaders and founders at SMBs (20–500 employees) in automotive, field services, logistics, or professional services who are still running critical workflows through Google Sheets, email, or disconnected tools.
"This is better than I could have possibly imagined." — Scot Nichols, after platform delivery
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AI-Integrated Workflow Systems
The problem
You know AI can help, but you need it integrated into your actual business processes, not a chatbot demo. Document processing, knowledge retrieval, and data extraction are eating your team's time, and generic AI tools don't understand your domain.
The outcome
Document processing that extracts and classifies without human review. Knowledge retrieval that answers from your actual data. Workflow triggers that execute without manual intervention.
Typical investment: $10,000–$30,000 for initial integration. Ongoing optimization available.
See full details: approach, deliverables, and ideal fit
The solution
LLM pipelines, RAG systems, and agentic workflows integrated directly into your existing platform. Document intelligence, automated classification, natural-language querying of internal data, all deployed to production with proper security and cost controls.
What you walk away with: Working AI pipeline integrated into your existing systems · Cost and latency monitoring · Security guardrails · Documentation for your team to operate it
Best fit: Technical founders and CTOs evaluating AI for operational leverage, not hype. Companies with substantial internal documents, domain knowledge, or data that should be queryable but currently isn't.
"Jonathan is a top-notch, detail-oriented developer I recommend to anyone serious about quality and maintainable applications." — Paul Davis, Upwork verified
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Cloud Architecture and Migration
The problem
Your cloud costs are climbing. Deployments are fragile. Scaling is manual. Or you're still running on-premise infrastructure that's becoming a liability.
The outcome
Lower cloud spend through right-sizing. Faster, more reliable deployments. Infrastructure that scales with demand instead of requiring manual intervention.
Typical investment: $5,000–$15,000 for assessment and migration plan. Full migration engagements vary by scope.
See full details: approach, deliverables, and ideal fit
The solution
Cloud-native architectures across Azure, GCP, and AWS with Terraform automation, containerized deployments, CI/CD pipelines, and right-sized infrastructure. I also modernize legacy systems into cloud-ready architectures.
What you walk away with: Architecture blueprint · Terraform infrastructure-as-code · CI/CD pipeline · Cost optimization report
Best fit: Companies with growing cloud bills, manual deployment processes, legacy systems approaching end-of-life, or teams needing cloud architecture leadership without a full-time hire.
"Jonathan did great work modernizing our legacy systems into a new environment. He is a strong coder, easy to work with, and knows exactly what he's doing." — Adrian Noble, Upwork verified
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Full-Stack Platform Engineering
The problem
You need a custom application built from the ground up, not configured from a template. Your requirements span backend services, frontend experience, APIs, integrations, and data systems. You need a senior engineer who can own the full technical stack and make sound architecture decisions.
The outcome
A maintainable, well-architected system built on Clean Architecture patterns with production-grade testing. The kind of codebase your next developer can read, extend, and trust on day one.
Typical investment: $20,000–$60,000+ depending on scope and duration. Delivered in phases with working software at each milestone.
See full details: approach, deliverables, and ideal fit
The solution
End-to-end platform development using .NET/C#, Python, ASP.NET Core, FastAPI, SQL Server, PostgreSQL, Cosmos DB, with Clean Architecture, production-grade testing, and deployment automation.
What you walk away with: Production-deployed application · Full source code · API documentation · Test suite · Deployment pipeline · Handoff documentation
Best fit: CTOs and technical leads who need a senior full-stack partner for a 3–12 month engagement with architecture ownership and direct accountability.
"Jonathan was great to work with. He understood requirements quickly, suggested improvements, and asked strong clarifying questions when things were unclear. I'd work with him again." — Katherine Labelle, Upwork verified
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Rapid MVP and Pilot Build
The problem
You have a product idea or internal tool concept, but you need to validate it quickly with a working prototype before committing to a full build. You can't afford months of development before seeing if the approach works.
The outcome
A testable system that validates or invalidates your assumptions fast. Clear path from MVP to production if results are positive.
Typical investment: $8,000–$20,000 depending on scope. Most pilots complete in 3–6 weeks.
See full details: approach, deliverables, and ideal fit
The solution
Working MVPs and pilot systems built in weeks: custom AI workflows, data pipelines, LLM-backed automations, or bespoke internal tools. Enough to test with real users and make a go/no-go decision.
What you walk away with: Working prototype deployed to a test environment · Go/no-go recommendation · Production roadmap if results are positive
Best fit: Founders and product leads with a specific hypothesis to test. Companies that want to evaluate AI or automation ROI before a large commitment.
"Jonathan provided a very detailed report, clearly explained the likely issue, and proposed solutions to our web app problems. He was very knowledgeable and understood our concerns." — Jack Wongpaitoonpiya, Upwork verified
Tell me your hypothesis. I'll say if it's buildable in weeks
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Fractional Architecture and Advisory
The problem
You don't need a full-time architect, but your technical decisions have long-term consequences: stack choices, cloud strategy, AI integration approach, scaling patterns, vendor selection. Making the wrong call now creates expensive technical debt later.
The outcome
The architecture guidance that prevents a six-figure rewrite, without the $250K+ annual cost of a senior architect on staff.
Typical investment: $150/hour or monthly retainer starting at $2,500/month. Typically 5–15 hours/month.
See full details: approach, deliverables, and ideal fit
The solution
Senior architecture advisory on a fractional basis: system design reviews, technology evaluations, scaling assessments, AI feasibility analysis, and hands-on guidance for your development team.
What you walk away with: Architecture review document · Technology recommendations with tradeoff analysis · Scaling assessment · Actionable next steps for your team
Best fit: Growing companies with a development team but no senior architect. CTOs who want a trusted second opinion on critical technical decisions.
"It has been a fantastic experience working with Jonathan. He is very knowledgeable and a strong full-stack engineer who can tackle challenges from API solutions to database and cloud efficiencies." — Alberto Jaramillo, Upwork verified
Not sure which service fits?
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.
Not sure which engagement fits?
Most projects don't fit neatly into one box. Book a free 30-minute Discovery Call and I'll help you figure out the right scope, timeline, and approach, even if the answer is "not yet."