Areas of expertise
I help founders and NLP practitioners cut through the noise of the AI landscape and figure out exactly what they need to build and why.
- Uncertainty about which NLP problem is actually worth solving
- No clear way to measure or audit model results in a meaningful way
- Confusion over when to use an API versus an open-source solution
- Hidden trade-offs in resource choices that derail timelines and budgets
- Low confidence when making decisions about ML models and AI agents
I work with you to bring clarity and direction, so you can move forward with real understanding rather than guesswork.
About Me
I am Phil, an NLP Research Associate and Industry Research Collaborator.
I work at the intersection of academic research and real-world AI applications, helping founders and NLP practitioners cut through the noise and make confident, informed decisions about NLP and AI.
I help you clearly define the NLP problem you are actually solving, choose between APIs and open-source tools with a clear understanding of the trade-offs, and build the right metrics to measure what matters. The result is sharper technical judgment and real confidence in working with NLP, ML, and AI agents.
My work includes establishing monitoring metrics for a top-10 UK company and advising on state-of-the-art NLP practices across industry projects. I have published NLP research at leading academic venues including ACL and IEEE.