About Me

My Story

I believe great engineering starts with people. Over the last decade, I've built and scaled teams across the US and Europe, leading initiatives that bridged innovation and culture. At Zendesk, Dutchie, and now Hivenet, I've helped teams grow sustainably—combining mentorship, clarity, and technical excellence.

My journey in technology began with a deep curiosity about distributed systems and cloud architecture. As I progressed in my career, I discovered that the most impactful work wasn't just about building scalable systems—it was about building scalable teams that could tackle increasingly complex challenges.

Today, I'm passionate about helping engineers grow into leaders, fostering cultures of psychological safety and continuous learning, and architecting systems that balance velocity with reliability. Whether it's reducing cloud costs by 20%, scaling services to handle millions of requests, or mentoring junior engineers into senior roles, I focus on measurable impact that serves both people and business outcomes.

Leadership Values

Current Focus

As Head of Engineering at hivenet.com, I lead 9 teams and 30+ engineers (direct and indirect reports), driving the modernization of our product development process toward a leaner, AI-first delivery model. My mandate spans platform engineering, infrastructure, and the organizational practices that let a distributed team ship reliable software at pace.

My current work sits at the intersection of agentic AI and engineering culture. I'm rolling out AI adoption across engineering— building the patterns, tooling, and guardrails that turn AI from a novelty into a core part of how we design, review, ship, and operate software. The goal is a genuinely AI-first engineering culture where every engineer has agents as collaborators, not curiosities.

Key initiatives I'm leading right now:

• Agent Orchestration & Optimization: Designing multi-agent workflows, cost and latency optimization, and evaluation harnesses so agentic systems are reliable enough to put in front of real users.
• AI-First Engineering Culture: Establishing practices, tooling, and enablement programs so every team treats AI-assisted development as the default, not the exception.
• SOC2 Compliance Initiative: Owning the end-to-end SOC2 program—policies, controls, evidence collection, and the engineering changes required to meet enterprise-grade standards.
• Enterprise-Readiness: Hardening the platform for enterprise customers—identity, auditability, reliability SLOs, and the operational maturity that larger buyers expect.
• DORA Metrics Foundation: Laying the measurement groundwork—deployment frequency, lead time, change failure rate, and MTTR—so teams have objective signal to improve on.
• Data Initiatives: Enabling and rolling out data platform work that unlocks better product decisions, sharper observability, and the training signal our AI systems need.
• Hiring & Team Design: Growing the engineering org with intent—hiring for leverage, shaping team boundaries, and building a bench that can scale with an AI-first operating model.

Outside of my day job, I write the Bear Essentials newsletter on engineering leadership, speak about distributed teams and AI adoption, and mentor engineers navigating the transition into leadership and AI-augmented workflows.