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Independent consulting · B2B software
AI & Backend Engineering for Complex Business Systems
I help software companies automate expensive operational workflows using AI, data, and modern backend engineering.
10+ years building production systems
- C# / .NET
- PostgreSQL
- Distributed Systems
- AI / LLMs
Operational system map
Signal active
01 / input
02 / context
03 / output
Data + APIs
3 sourcesnormalized
AI reasoning layer
Assisted01Retrieve context
02Evaluate policy
03Propose response
Insight
Pattern found
confidence 0.94
Action layer
Route to review
human approval enabled
Problem areas / 01
Where complex systems lose time
These are the problem areas I'm focused on right now. They're the kinds of workflows I'm exploring with teams—not a claim that every one is a solved product.
- 01Investigate
Operational Investigations
Teams spend engineering time answering questions that require digging through databases, APIs, logs, and internal systems.
- 02Automate
Repetitive Internal Workflows
Manual workflows that require people to move information between systems, investigate exceptions, or repeatedly perform the same analysis.
- 03Understand
Data-Heavy Business Questions
Teams have valuable operational data but still depend on engineers or analysts to answer relatively straightforward questions.
- 04Engineer
AI-Assisted Systems
Organizations want to use AI in real workflows—not just add a chatbot to an existing application.
Services / 02
Engineering leverage, applied selectively
Focused engagements for teams that need senior engineering judgment across workflows, production systems, and applied AI.
AI Workflow Automation
Identify repetitive, expensive workflows and turn them into reliable AI-assisted systems.
- Workflow analysis
- Assisted execution
Backend & Data Engineering
Build and improve APIs, PostgreSQL systems, integrations, data pipelines, and backend infrastructure.
- APIs & integrations
- Data architecture
AI Prototyping
Take an internal AI idea from concept to a working proof of concept that can be evaluated by real users.
- Working prototype
- User evaluation
Focus areas evolve with the problems I encounter and the places I can create the most durable value.
Background / 03
Built from production experience
Senior backend engineering, with AI treated as part of the system—not a layer of marketing on top.
I have 10+ years of experience building production software across C#, .NET, PostgreSQL, APIs, and distributed systems.
I work with RAG, agents, model integration, and AI application architecture by starting with reliability, observability, and real economic value.
Technical expertise
SYS/STACK- C# / .NET
- PostgreSQL
- Backend Architecture
- Distributed Systems
- APIs
- AI / LLM Applications
- RAG
- AI Agents
- Cloud & Infrastructure
How I work / 04
From problem to working system
- 01
Map the system
Understand
Start with the workflow, not the technology. Understand where time, money, and engineering capacity are being lost.
- 02
Find leverage
Identify
Find the part of the workflow where automation can create measurable value.
- 03
Test the premise
Prototype
Build the smallest working solution that can be tested with real users.
- 04
Build for reality
Productionize
Once the value is proven, harden the system for reliability, security, and scale.
Customer discovery / 05
Currently exploring
I'm researching how software companies handle complex operational workflows and where AI can remove repetitive investigative work.
- 01Production investigations
- 02Data-heavy support requests
- 03Operational exception handling
- 04Internal reporting and analysis
- 05AI-assisted engineering workflows
Open research note
If your team deals with one of these problems, I'd be interested in hearing how you handle it today.
Contact / 06
Have a workflow that's costing your team too much time?
If you're dealing with a repetitive, data-heavy, or difficult-to-investigate workflow, I'd like to understand how it works today.