I specialize in AI consulting for fast-growing logistics and supply chain companies in Dubai that are scaling rapidly and ready to integrate AI into their operations. My ideal clients are often fresh off a funding round, growth-focused, and looking for immediate AI enablement across their teams and processes. These companies understand the value of early adoption and want a strategic partner to help them implement AI systems with purpose and precision.

One of my standout clients is a B2B hot sauce company that had recently closed a Series A round. They identified as early adopters of AI and wanted to bring their entire team up to speed. I conducted comprehensive training sessions for all employees and was poised to move into a deeper discovery phase before a pricing misunderstanding put things temporarily on hold.

While I welcome driven, forward-thinking companies, I’m also selective about culture fit. I once turned down a high-profile public fintech company after sensing misalignment; the CEO of a key division was dismissive during our initial conversation and didn’t give space to understand the scope of services offered. That kind of impatience and disregard for collaboration isn’t compatible with the high-trust partnerships I aim to build.

I rely on Make for automation and Google Sheets for data organization and analysis. My language models of choice are OpenAI and the Perplexity API, which I use to build efficient, context-aware solutions. Though I don’t use it professionally, I enjoy experimenting with DALL-E for creative projects in my free time.

Ethical AI is more than a side note in my work—it’s a key discussion point during every training and consultation. One important insight I gained during my ethics training was understanding why companies are wary of tools like GitHub Copilot. Concerns around intellectual property and license contamination are very real, and I now address these issues directly with clients. I also initiate conversations around AI bias, especially in hiring scenarios, and emphasize best practices for protecting proprietary data when using AI tools.