Summary
Salah Assana is a Machine Learning Engineer in Greater Boston with 10 years of experience applying ML, signal processing, and medical imaging to healthcare problems. At Harvard Medical School he sped up a free-breathing perfusion MRI sequence by 10x and deployed real-time models on Siemens scanners, bridging research and clinical workflows. His background spans embedded and full‑stack systems—from a contactless mmWave cardiovascular sensor at MIT Media Lab to scalable data lakes and NLP summarization at Booz Allen—so he moves ideas from prototype to production. Notably, he has repeatedly delivered large runtime and energy improvements (up to 3000% speedups and 50% energy savings) while integrating experimental scans into clinical settings, reflecting both technical depth and practical impact.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Summa Cum Laude, Master's degree, Computer Science, Summa Cum Laude at Massachusetts Institute of Technology
Associate's degree, Computer Science, Summa Cum Laude, Associate's degree, Computer Science, Summa Cum Laude at Northern Virginia Community College
Bachelor's degree, Computer Science, Highest Distinction (Summa Cum Laude), Bachelor's degree, Computer Science, Highest Distinction (Summa Cum Laude) at University of Virginia