I build production-grade agentic systems, real-time vision and voice AI, enterprise data platforms, and global compliance frameworks for companies that want results without the big-consultancy price tag.
The same methodology that delivers EUR 100K+ savings across R&D, Engineering, Procurement, Quality, Marketing, and Operations. From voice agents to robotics vision, data platforms to global compliance. Production-ready systems with measurable ROI, delivered in weeks.
Multi-agent orchestration with enterprise safety and governance patterns. Vision agents, document agents, voice agents, and domain specialists orchestrated through intelligent routing with tool calling, shared state, and conversation memory. From single-purpose agents to enterprise-scale ecosystems that reason across text, images, audio, and structured data in production.
Medallion architectures on Databricks and Delta Lake. Streaming pipelines, feature engineering, MLflow experiment tracking, and Unity Catalog governance. Production ML with XGBoost, time-series forecasting, and anomaly detection.
Structured extraction with per-field confidence scoring, source traceability, and anti-hallucination guarantees for high-volume document processing. Plus intelligent automation for R&D workflows, engineering simulation pipelines, supplier qualification, procurement compliance, cross-departmental reporting, and technical benchmarking. Built for industries where precision and traceability are non-negotiable.
Real-time voice assistants with native audio pipelines, sub-300ms latency, interrupt detection, and extensible tool calling. Custom personas, session memory, and hands-free operation for field teams, customer service, and accessibility.
Real-time video intelligence with multi-tier perception: edge processing (OpenCV, YOLO, MediaPipe), cloud VLMs (Groq, Gemini), and LLM reasoning. Scene analysis, object tracking, document OCR, anomaly detection, and robotics action planning.
Identify highest-ROI use cases, design target architectures, evaluate build-vs-buy, and create 90-day execution plans. Technology selection, vendor assessment, and team capability mapping for companies starting or scaling their AI journey.
Automated competitor analysis, market benchmarking, and deep research pipelines. AI-powered web scraping with structured data extraction, multi-source synthesis, quality-controlled report generation, and presentation deck automation.
Autonomous optimization loops that make your AI pipelines better over time without manual tuning. From RAG systems that discover their own optimal configuration to extraction pipelines that find and fix their own bugs. Evaluated on industry benchmarks with measurable improvement trajectories.
Regulatory readiness across jurisdictions: EU AI Act, GDPR, ISO 42001, NIST AI RMF, and industry-specific standards. Risk classification, model monitoring, bias auditing, and audit-ready documentation for regulated supply chains.
From discovery call to production — here's what the experience looks like.
Sam was the first external person who didn't need three weeks of onboarding to understand our data landscape. He just got it. Pipeline has been running stable since he left.
We originally scoped a 12-week engagement and he finished the core system in five. Bit annoying actually because we had to scramble to get the internal team ready earlier than planned.
Brought him in to evaluate our AI roadmap. He was honest about what wouldn't work, which none of our other vendors had been. We ended up focusing on one use case instead of four and actually shipped it.
Our junior devs still reference his documentation more than our own internal wiki. That says enough I think.
Sam was the first external person who didn't need three weeks of onboarding to understand our data landscape. He just got it. Pipeline has been running stable since he left.
We originally scoped a 12-week engagement and he finished the core system in five. Bit annoying actually because we had to scramble to get the internal team ready earlier than planned.
Brought him in to evaluate our AI roadmap. He was honest about what wouldn't work, which none of our other vendors had been. We ended up focusing on one use case instead of four and actually shipped it.
Our junior devs still reference his documentation more than our own internal wiki. That says enough I think.
Twelve production-grade projects. From a single PostgreSQL database to real-time robotics vision. Each solves a real business problem.
ETL, Medallion, streaming, governance. Making messy data reliable before AI touches it.
Agents, RAG, ML in production. Systems with guardrails, governance, and human oversight.
A lean, results-focused process refined across enterprise deployments.
Free 30-minute call to understand your challenges and identify high-impact AI opportunities.
Within 48 hours: clear architecture, timeline, deliverables, and scope definition.
Weekly demos, continuous feedback, transparent progress. Working software every week.
Production deployment with docs, monitoring, and knowledge transfer. You own the system.
Send me a message on LinkedIn or book a free 30-minute discovery call. No pitch decks, just a conversation.
Free 30-minute discovery call · No commitments