Hiring Managers decide in 5 seconds whether you read as an AI Engineer. That's only the first filter. I help you pass it, stand out, and become the candidate they hire.
I've interviewed 100s of AI/ML Engineers and reviewed thousands of profiles over almost a decade. I'll read your LinkedIn, resume and GitHub the way I read a real application, and show you exactly what to fix.
Your profile signals your reputation. Before you ever meet, a Hiring Manager only knows you through the signals your LinkedIn, resume and GitHub send.
I kept seeing strong candidates get passed on, not because the work wasn't there, but because their profile didn't show it. Fix the profile, and you fix the signal.
New grads, PhDs, data scientists and senior MLEs. Strong people, all of them. Here's what I saw across the profiles I've reviewed so far.
Hover or tap for detail. Percentages come from the resumes and profiles I broke down line by line; nothing is extrapolated.
A sample of the fixes I see most. The free Guide goes further, with real before/afters.
A short review of the most common fixes I make to AI/ML Engineers' LinkedIn, resume and GitHub, with real before/afters and the notes I gave each person.
Feedback from me personally. You make the changes, I review them.
Best for new grads and MSc grads.
Only 4 spots left for this month
Best for PhD/research → industry and DS → AI Engineering.
Only 2 spots left for this month
Best for senior DS → AI Engineering lead and senior MLEs.
AI Engineer salaries in Toronto start around $140k. The percentages compare each price to a $20k higher offer in year one. An illustration, not a promise.
Audit: 100% money-back guaranteed. If I find fewer than 10 specific fixes, you get every dollar back. Rebuild: make the changes, apply to 30 matching roles in 45 days, and if there's no interview you get an extra session and review, free.
You're targeting roles outside AI/ML Engineering, you want job leads or referrals (never sold), or you want to look better on paper without doing the building.
Messages from people I've given feedback to on LinkedIn. Names changed.
“Thank you so much Jawad for taking the time and talking with me today! It was very helpful and it gave me lots of clarity.”
“Thank you so much for your advice! I really appreciate it. I'll update my resume based on your suggestions and send you the updated version.”
“I made that a bit more evident in this update. … Let's keep in touch. Appreciate the help.”
No one can honestly promise a job. What I can promise is that you stop getting filtered out for avoidable reasons: the wrong title, buried AI work, claims with no proof. The strongest version of you is what a Hiring Manager sees first.
Referrals are never part of what you pay for. If I come across a role that genuinely fits, I'll mention it, the same way I would for anyone.
New grad or MSc grad: start with the Audit. Most of the profiles I see are yours, and a written, ranked fix list is usually enough.
Switching in from research or data science, or already interviewing: the Rebuild, because positioning and the mock interview matter most there. Senior or lead: the Lead Rebuild. Not sure? Message me and I'll tell you honestly.
Your resume (PDF), LinkedIn URL, GitHub URL and the roles you're considering. You book and pay through Cal.com, send those over, and get the written audit within 72 hours. Live sessions are on video.
I'm in Toronto and everything is remote, so it works anywhere in Canada and for most North American markets.
Yes. I don't share your materials with recruiters, employers or anyone else. Examples are only ever published anonymized, and only with your explicit OK.
You can ask me to delete everything at any time. The details are in the privacy notice and terms.
Pick a tier, or send me a message on LinkedIn with "5-second test" and your resume.