I don't deliver code.
I deliver solutions.
Helping companies automate workflows and ship applied AI systems — data pipelines, RAG, and agentic operations — measured in hours saved, throughput gained, and risk reduced.
What I deliver
Operational outcomes, not experiments
Automate
Replace repetitive manual tasks with event-driven, asynchronous pipelines. Save thousands of management hours per quarter.
- Workflow orchestration
- Data pipelines
- CI/CD automation
Optimize
Turn unstructured, fragmented data into actionable insights with custom RAG pipelines and real-time analytics.
- RAG knowledge engines
- Data aggregation
- Analytics dashboards
Innovate
Deploy multi-agent AI systems tailored to your internal workflows, with guardrails, auditability, and production hardening.
- Agentic workflows
- LLM integration
- Security & monitoring
Use cases
What I can build for you
Enterprise AI Dashboards
Web interfaces that turn internal knowledge into interactive, queryable systems. Charts, AI suggestions, and a chat interface analyzing your data - built for non-technical stakeholders.
How it works
A predictable engagement model
Discovery
Systems and data reality check. We map existing workflows, identify bottlenecks, and build a risk register.
Prototype
Prove value with minimal surface area. A working proof-of-concept scoped to one high-impact workflow.
Productionize
Security hardening, reliability engineering, monitoring, and cost controls. Ship it for real.
Iterate
Continuous optimization based on real usage data. Expand scope, improve accuracy, reduce costs.
Proof of work
Selected projects
Enterprise AI Knowledge Engine
Turned highly fragmented PDFs, JSONs, and internal documents into a unified, queryable knowledge base accessible to non-technical management. Empowered decision-makers to extract insights instantly without AI expertise.
Fully Automated AI Content Pipeline
Designed and built a fully automated content generation pipeline that crawls data, generates SEO-optimized content via AI, localizes it for 100+ locales, and publishes — all without human intervention, with strict automated guardrails.
Low-Latency Big Data Parsing Engine
Architected a high-throughput, low-latency data parsing and streaming system for a decentralized exchange trading bot. Handles multi-protocol data feeds with sub-200ms end-to-end processing latency.
Scalability
Solo delivery by default.
Team-led when needed.
For enterprise-scale projects, you don't need to hire five different freelancers. I architect the solution and lead a curated network of specialists - UX/UI designers, frontend/backend engineers, and database architects - under one unified point of contact.
You get end-to-end delivery with single-point accountability for solution architecture, quality, security, and stakeholder communication.
Solution Architecture
Always me
AI / ML Engineering
Always me
Backend & APIs
Core or delegated
Frontend & UX
Network specialist
Data Engineering
Core or delegated
DevOps & Cloud
Core or delegated
About the architect
Igor Pandurević
Lead AI Engineer with a Master's in Data Science, 10+ years of programming experience, and deep expertise in shipping production-grade AI systems across cloud environments.
Previously led applied AI engineering at a Swiss fintech company, building everything from real-time data pipelines and RAG knowledge engines to multi-agent orchestration systems. My philosophy is “boring but reliable” - robust architecture that actually works in production, not flashy demos that break under load.