AI-Powered Residency Screening: How RankRX Uses LLMs to Fix Unfair Application Filtering

‪@MalkeAsaad‬ , plastic surgery resident and founder of Rank RX, shares how he built an AI platform using large language models to revolutionize residency application screening. From med school in war-torn Aleppo to Mayo Clinic and MD Anderson, Malke discusses the unfair filtering system that inspired Rank RX—where Nobel Prize laureates get rejected for missing a cutoff by one point—and how AI can make hiring more objective and efficient.

What you'll learn:
Why the current residency application system is broken (Nobel Prize winner rejected for 1-point score gap)
How Rank RX uses AI/LLMs to screen 1,000–2,000 applications (30–80 pages each) in minutes
Building a tech team as a physician entrepreneur without coding background
Customer acquisition strategies for healthcare startups (networking, ads, vendor screening)
Market validation: assessing if your solution solves a real problem people will pay for

Timestamps
0:00 – Unfair residency filtering: Nobel Prize winner rejected for 1-point gap
1:14 – Malke Assad’s journey: From Aleppo to leading U.S. institutions
3:45 – Rank RX: How AI/LLMs bring objectivity to application screening
4:21 – How it works: Custom scoring and program-driven selection criteria
8:36 – Real-world usage: Positive feedback and automated recommendation letter analysis
10:32 – Building a tech team without a coding background
17:35 – Key advice for physician entrepreneurs: Turning ideas into scalable companies

RankRX Website: https://www.rank-rx.com/
Malke Assad LinkedIn:   / malke-asaad-43b908177  
The Match Guy Website: https://thematchguy.thinkific.com