I will consult on ai strategy, AWS and harvard certified ai professional

【AWS Certified】: https://www.credly.com/users/syed-aiman-akheel.66be6aee

【Harvard Certified】: https://online.hbs.edu/verify-certificate?dvid=NAXK8LVE

Thinking about where AI/ML actually fits in your business and where it doesn't is a different skill than building the model itself. I've spent 10+ years doing both: as a Lead Scientist at Amazon, AWS-certified across ML Specialty, ML Engineer, and AI Practitioner, and mentoring teams on turning AI research into revenue.

I help founders, product leads, and technical teams answer the questions that come before you hire a developer or buy a tool: Which AI use case is actually worth investing in first? Should you build custom, fine-tune an open model, or just call an API? Is your existing AI/ML implementation sound, or is it quietly accumulating risk (data leakage, poor evaluation, no monitoring)?

You'll walk away with a clear, written recommendation not just a call summary that your team or next hire can actually execute against. Especially useful before a big AI investment, before hiring an ML engineer/agency, or as a second opinion on a vendor's proposal.