AI & Identity and Access Management (IAM) Consultant | Software Engineer

I work at the intersection of AI, security, and software engineering, helping organizations design, build, and operate enterprise-grade systems that create measurable business value.

My focus is on using AI for automation and efficiency gains—not as a gimmick, but as a practical tool to improve decision-making, reduce operational friction, and scale organizations responsibly. At the same time, I place strong emphasis on security, performance, and user experience, ensuring solutions are robust, maintainable, and suitable for real-world enterprise environments.

I’m particularly interested in problems where complex technical systems meet organizational and economic constraints: scalability, security, maintainability, performance, and cost efficiency.

• Identity & Access Management (IAM)

  • Identity governance & administration (IGA)
  • Access models, lifecycle automation, and compliance-driven design
  • Integration of IAM platforms into heterogeneous enterprise landscapes

• Artificial Intelligence & Machine Learning

  • AI-driven automation and process optimization
  • ML systems that augment human capabilities rather than replace them
  • Applied experimentation with a focus on reproducibility and explainability
  • Interest in reinforcement learning and surrogate modeling

• Software & Systems Engineering

  • Designing and implementing reliable backend systems
  • Tooling, automation, and developer experience improvements
  • Cost-aware infrastructure and operational simplicity

Languages & ecosystems

• Rust • Python • Nix

  • Rust for performance, correctness, and strong type systems
  • Python for rapid iteration, ML workflows, and integration

• Functional programming influences (Haskell)

Systems & tooling

• NixOS & reproducible builds

  • Centralized, declarative system configuration as both infrastructure and documentation

• Linux-based infrastructure & DevOps practices

• Emacs (Org-mode, org-roam) for knowledge management and research

Engineering principles

• Reproducibility over heroics
• Clear abstractions over clever hacks
• Systems that are easy to reason about, operate, and evolve

As a consultant, I care deeply about outcomes, not just implementations. My work is guided by:

• Automation that compounds over time
• Enterprise-grade security and reliability
• High performance and thoughtful user experience
• Clear business value and measurable impact

I continuously evaluate new technologies and research to broaden my horizon, separate durable trends from hype, and apply what is genuinely useful to clients. I favor solutions that scale well operationally and remain understandable long after the initial delivery.

• AI as a lever for sustainable automation and productivity
• Identity as a security and organizational primitive
• Declarative systems and infrastructure as documentation
• Reproducible research and transparent engineering
• Long-term value creation over short-term optimization

• GitHub: @donvini94

I aim to build systems—and teams—that are resilient, understandable, and effective under real-world constraints.