What AI Software Development Actually Means
Most "AI developers" build chatbots or wrap API calls in a pretty interface. That's not what I do.
I build production enterprise systems where AI is one layer of a complete business platform. The AI doesn't exist in isolation — it's woven into CRM workflows, estimating pipelines, monitoring dashboards, and operational tools that real teams use every day.
When a construction estimator uploads a bid document, AI extracts 25+ fields automatically — project name, bid amounts, cost breakdowns, deadlines — and populates the database. When an IT manager checks their dashboard, AI has already flagged the 12 devices with anomalous disk health patterns across 500 organizations. When a doctor reviews a patient consultation, the platform has already organized images, payment status, and medical history into a structured view.
That's AI software development. Not a demo. A system people depend on.
AI Technologies I Work With
Large Language Models
I work primarily with Anthropic's Claude API (Claude 3.5 Sonnet, Claude 3 Opus) and OpenAI's GPT-4. Model selection depends on the use case — Claude excels at document analysis and structured extraction, while GPT-4 handles broader generative tasks. For enterprise deployments, I build multi-LLM architectures that route between models based on task complexity and cost optimization.
AI Orchestration & RAG Systems
For complex AI workflows, I use LangChain and LangGraph for orchestration — building multi-step processing pipelines, agent architectures, and tool-use patterns. For knowledge retrieval, I implement RAG (Retrieval Augmented Generation) systems using vector databases like ChromaDB and Pinecone, allowing AI to answer questions using your company's actual data rather than generic training data.
Full Production Stack
AI is only as good as the system it lives in. Every project includes complete full-stack development — Next.js 14 and React frontends, Node.js and Python (FastAPI) backends, PostgreSQL databases, and AWS infrastructure. The AI integration is seamless because I build the entire system, not just the AI layer.
What I've Built
AI Document Extraction for Construction Estimating
Built a complete CRM and estimating platform where AI auto-populates 25+ fields from uploaded bid documents. Estimators upload Conest reports, and Claude extracts project names, bid amounts, cost breakdowns, labor allocations, and material specifications. The system also performs cost code analysis comparing current opportunity data against weighted averages from historical projects. Delivered in 7 weeks.
AI Anomaly Detection for IT Device Monitoring
Built a real-time monitoring dashboard processing data from 1,500+ managed devices across 500+ organizations. AI analyzes disk health, RAM utilization, OS patch status, and antivirus coverage to generate health scores (1-10) with configurable thresholds. The system flags anomalies automatically — a device with unusual disk degradation patterns or a cluster of machines missing critical patches triggers immediate alerts.
Enterprise AI Wrapper with Security Controls
Built a multi-LLM access platform (Claude, GPT-4, Gemini) with enterprise security controls — DLP scanning on all inputs and outputs, comprehensive audit logging, user management with role-based access, usage analytics, and zero data retention policies. Designed for companies that need their teams to use AI without enterprise data leaking to third-party models.
AI-Powered Quality Control in Construction
Integrated AI image analysis into a construction quality control platform used daily by field teams. Workers upload photos of installations; AI analyzes them against quality standards, flagging potential issues for engineer review. The system has maintained 99%+ uptime over 18 months in production.
How I Work
I work with a small technical team. You get one point of contact — me — who understands both the architecture and the business logic. No project managers, no rotating junior developers, no meetings about meetings.
Typical engagement: We define scope, I produce a technical specification document, you confirm, I build. Most systems go from concept to production in 4-8 weeks. Fixed pricing available for defined scope, hourly billing for ongoing development.
Rate: $90/hour USD. For context, equivalent systems built by agencies cost $150K-$500K. I deliver at a fraction of that cost with direct access to the architect who builds your system.
Frequently Asked Questions
What AI technologies do you work with?
I primarily work with Anthropic's Claude API and OpenAI's GPT-4 for AI integration. For orchestration, I use LangChain and LangGraph. For knowledge retrieval, I build RAG systems using vector databases like ChromaDB and Pinecone. I also implement multi-LLM architectures where applications route between different AI models based on task complexity.
How long does it take to build an AI-powered application?
Most enterprise AI applications are delivered in 4-8 weeks from concept to production. I've delivered complete CRM platforms with AI document extraction in 7 weeks and IT monitoring dashboards with AI anomaly detection in under 6 weeks. Speed comes from AI-accelerated development and deep experience building similar systems.
What's the difference between an AI chatbot and what you build?
A chatbot answers questions in a text box. I build AI that's embedded into real business workflows — auto-populating fields from uploaded documents, analyzing data patterns across thousands of records, detecting anomalies in real-time, generating structured business insights. The AI is invisible to the user. The system is just smarter.
How much does AI software development cost?
My rate is $90/hour USD. A typical enterprise AI application runs $15,000-$50,000 depending on complexity. Equivalent systems built by agencies typically cost $150,000-$500,000. I deliver at a fraction of the cost because I work with a small team and use AI-accelerated development.
Can you integrate AI into my existing system?
Yes. I regularly integrate AI capabilities into existing applications — adding document extraction to CRM systems, embedding anomaly detection into monitoring dashboards, building AI copilots across existing platforms. Integration typically takes 2-4 weeks depending on existing architecture.
Do you work with US-based companies?
Yes. Most of my clients are US-based. I'm in the CET timezone (Belgrade, Serbia) which provides overlap with US East Coast mornings and full coverage during EU business hours. I maintain regular sync meetings and async communication through established workflows.