Milky Bekele is a data scientist and MLOps engineer with 8 years of experience building end-to-end production ML systems that measurably move business metrics. At Adludio he led creative AI tooling that cut ad-concept creation time by 95% and boosted engagement, and at Ozone he productionized models on 100M+ row datasets, increasing match-driven revenue and cutting cloud costs. He combines hands-on feature engineering, large-scale ID correlation analysis, and automated DBT/Python pipelines with deployment and monitoring on AWS and BigQuery. Milky’s practical use of VS Code agents and Model Context Protocol to accelerate feature selection and model comparison highlights a knack for tooling that speeds experimentation. Equally comfortable shipping front-end products and mentoring teams, he blends product sensibility from prior PM roles with deep ML engineering rigor. Based in Addis Ababa, he focuses on turning research into reliable, observable services for applied ML and audience intelligence.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Addis Ababa University
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Contributions:21 pushes, 2 branches in 2 years 6 months
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