Gilad Amar is a Senior Machine Learning Engineer with a decade of experience applying ML and data science to industrial and healthcare problems from Cape Town. He progressed from data analyst roles into principal data science positions at DataProphet and AdvanceGuidance, and now leads ML efforts at Lifecheq, bringing production-grade modelling and domain translation skills. Trained as an astrophysicist and physicist (MSc UCT, BSc/Honours Wits), he combines strong quantitative foundations with practical experience deploying optimization and predictive systems. Known for tackling meaningful problems while keeping work engaging, he excels at turning complex scientific concepts into robust, scalable solutions. Colleagues rely on him for bridging research-grade approaches with business impact across manufacturing, telecoms and health tech.
10 years of coding experience
9 years of employment as a software developer
MSc Astrophysics and Space Science Astronomy and Astrophysics, MSc Astrophysics and Space Science Astronomy and Astrophysics at University of Cape Town
Physics Honours Physics, Physics Honours Physics at University of the Witwatersrand
Open-source code for a Chrome extension that adds vowels to Hebrew text using a machine learning model.
Contributions:2 reviews, 5 PRs, 6 pushes in 2 years 5 months
vowelstensorflowjshebrewmachine-learningchrome
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Gilad Amar - Senior Machine Learning Engineer at Lifecheq