Summary
Mohammed Ali is an Analytics Engineer based in Cairo with 11 years of experience building data-driven software and ML solutions for biotech and drug discovery. He currently develops robust Shiny applications and R packages at Interstellar Consultation Services, blending open-source contributions with commercial deployments in bioinformatics and chemoinformatics. His background spans full-stack and architecture roles across startups and established vendors, giving him a practical end-to-end perspective from data ingestion to production analytics. Mohammed has shifted from machine learning model research for pharmaceuticals to shipping reusable R tooling, demonstrating a knack for turning research prototypes into maintainable packages. He holds advanced training in applied data science and leadership from programs at Data ScienceTech Institute and Wharton, and often bridges product requirements with hands-on implementation. Not obvious at first glance: he pairs enterprise software engineering experience (J2EE, .NET) with a sustained commitment to R-based open-source tooling, enabling rapid, reproducible analytics for scientific customers.
10 years of coding experience
13 years of employment as a software developer
Creativity, Innovation, and Change, Creativity, Innovation, and Change at Penn State University
Bachelor's Degree, Scientific Computing, Bachelor's Degree, Scientific Computing at Ain Shams University
Liferay
Ain Shams High School
Total Leadership: Better Leader, Total Leadership: Better Leader at University of Pennsylvania - The Wharton School
MSc in Applied Data Science & Big Data, Data Science, A, MSc in Applied Data Science & Big Data, Data Science, A at Data ScienceTech Institute
Certificate of Data Science, Data Science, Certificate of Data Science, Data Science at Springboard's Foundations of Data Science Workshop
Programming Cloud Services for Android Handheld Systems, Programming Cloud Services for Android Handheld Systems at Vanderbilt University
English