I help enterprise and operations-heavy teams turn messy business processes into reliable systems.
I’ve spent 15+ years building and leading production software systems: .NET platforms, Azure infrastructure, SQL databases, APIs, internal tools, reporting workflows, and business-critical applications. That background lets me bridge the gap between AI experimentation and software that a real business can actually depend on.
I work best where software needs to connect with real operations - documents, databases, CRMs, spreadsheets, internal portals, legacy systems, approval workflows, reporting processes, and human review steps.
I use Claude Code and OpenAI Codex as part of my daily engineering workflow: reviewing codebases, planning features, accelerating development, testing ideas, refactoring safely, and turning business requirements into working software faster. My value is knowing how to apply AI inside real production environments where architecture, security, data quality, maintainability, and auditability matter.
I can help with:
🔧 Process Engineering - mapping workflows, finding automation opportunities, and designing safer AI-assisted processes
🤖 AI Automation - document processing, internal tools, reporting automation, CRM/data-entry support, and review queues
🧠 AI/LLM Development - assistants, RAG/search, structured outputs, guardrails, evaluations, and human-in-the-loop workflows
🏗️ .NET / Azure / SQL Integration - connecting AI into existing enterprise systems without creating fragile side projects
📐 Fractional CTO / Technical Lead Support - architecture, roadmap planning, risk review, estimates, and execution strategy
A typical first step is a short discovery and workflow review. From there, I give you a prioritized plan: what can be automated, what should stay human-reviewed, where the risks are, what it will cost, and what can be shipped first.
Message me with your current process, stack, pain point, and deadline. I’ll help you turn the time-sink into a working system.
Alexander E. earns an estimated $9.4k/mo. That's 6.4× the typical freelancer and more than 99.85% of everyone we track.