Hi, I'm Evgeni.
Cluj, Romania
Forward-deployed Solution Architect and AI consultant at Tecknoworks. I help companies find where AI makes a real difference, from assessing processes and prioritising use cases to a costed roadmap, then design and deliver the solutions through to production, across domains like legal tech, manufacturing, mining and insurance.
Here I write about AI-first engineering, agentic AI and business transformation with AI, plus case studies from engagements that delivered meaningful business impact.
Selected work
All case studies-
Operating model
The AI-First SDLC
The approach 8 of our 12 engineering teams now run on, presented at DevTalks Cluj.
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Case study
Business Transformation: 31 Pain Points to AI in Production
A two-week assessment into a funded roadmap, and roughly 80% less manual finance work in production.
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Personal system
A Second Brain with Obsidian + Claude Code
An AI-maintained knowledge base in Obsidian, with Claude Code as the structuring engine.
Latest writing
All posts-
The AI-First SDLC: A Practical Guide for Software Engineering Teams
AI made writing code fast, but capturing intent is still slow. The AI-First SDLC we run on: a Project Brain, Living Specs and Agentic Loops, with the lessons we learned along the way.
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The AI Use-Case Handbook: 16 Demos of What Actually Works
The AI use-cases we keep seeing across industries that actually deliver business value in production — natural-language BI, document extraction, contract review, churn, forecasting, computer vision and more. Sixteen reusable patterns, each with a short visual demo.
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Spec-Driven Development: A Practical Guide for AI-Accelerated Teams
A comprehensive guide to Spec-Driven Development: why specs are the missing layer for AI-accelerated teams, and how to put it into practice.
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How I Built My Second Brain with Obsidian + Claude Code
A practical guide to building an AI-native personal knowledge base in Obsidian, with Claude Code as the structuring engine. From manual Notion to automated cross-domain wiki in an afternoon.
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Multi-Agent AI with Hybrid Search: Cutting Document Review Time by 80%
How a multi-agent orchestrator combined with LanceDB's hybrid search cut document review time by 80% — practical patterns from a Legal Tech production build, with full source code.
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DevOps for Azure: Multi-Environment Provisioning With Terraform & CI/CD Pipelines
Step-by-step guide to setting up a multi-environment DevOps solution with CI/CD pipelines and Azure resource provisioning using Terraform and Azure DevOps.
Working on an AI initiative that needs to reach production?
I'm happy to compare notes, whether you're scoping a first use case or trying to get a stalled pilot over the line.