I’m excited to share that I’ve been selected as an NVIDIA Developer Champion.

Over the past few years, a large part of my work has revolved around developers, AI, cloud infrastructure, and technical communities. From working on Power BI and Microsoft Fabric at Microsoft, to machine learning observability projects, hackathons, developer programs, student communities, and technical speaking, I’ve always been drawn to spaces where people are actively building and sharing ideas.

The NVIDIA Developer Champion program feels aligned with that.

What I appreciate about the developer ecosystem around NVIDIA is how practical and builder-focused it is. A lot of the conversations are grounded in real systems, real experimentation, and real technical challenges. Whether people are working on AI infrastructure, robotics, accelerated computing, computer vision, simulation, or open-source tooling, there is a strong culture of people sharing what they are learning as they go.

My background has crossed several areas of technology. I studied computer science at Western University and have worked across product management, cloud infrastructure, and engineering roles. I previously worked on ML and LLM observability at Datadog, and today I work in Azure Engineering Operations at Microsoft. Alongside work, I’ve also spent a lot of time organizing developer events, mentoring students, speaking at conferences, and helping early-career engineers navigate careers in tech.

Some of the most meaningful opportunities in my career started through communities like these. A hackathon conversation, a meetup, a technical demo, or someone sharing what they were building often opened doors that formal processes never could.

That’s one reason why I still care deeply about technical communities, even as the industry changes quickly around AI. We are entering a period where the gap between ideas and execution is shrinking fast. Individual developers can now build systems that previously required much larger teams. Open-source projects move quickly. AI tooling is changing how people prototype, research, write code, and learn new domains. Infrastructure and compute are becoming part of everyday developer conversations in a way that felt much more specialized a few years ago.

I think communities matter even more in environments like this.

People learn faster when knowledge is shared openly. Developers improve faster when they can see how others approach problems. Early-career engineers benefit tremendously from spaces where experimentation is encouraged and where technical curiosity is taken seriously.

As part of the NVIDIA Developer Champion community, I’m looking forward to contributing more through technical writing, developer education, projects, demos, events, and community collaboration. I’m especially interested in areas involving AI infrastructure, developer tooling, reliability engineering, machine learning systems, and practical applications of AI in real workflows.

I’m also excited to learn from other people in the community. One of the best parts of technology is that there is always another domain, system, or perspective to explore.

Grateful for the opportunity and excited for what’s ahead.