Reza Zerehpoosh is an MLOps engineer with 10 years of experience building and operationalizing end-to-end machine learning systems, currently driving production ML at Zenseact in Gothenburg. He has deployed over a dozen models into production using Python, AWS, and open-source tooling, consistently cutting manual labor and costs through automation. His work spans computer vision, geospatial modeling, and ML microservices—examples include image-labeling pipelines, background-removal powered photo generation, and a rooftop detector that improved lead conversion by 20%. Comfortable collaborating across product, data science, and engineering teams, he pairs hands-on implementation with clear operational documentation for long-term maintainability. Notably, his e-commerce automation reduced item publishing time from days to minutes while saving significant per-item editing costs.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree Computer Software Engineering, Bachelor's degree Computer Software Engineering at Zand University of Shiraz
Associate's degree Computer Software Engineering, Associate's degree Computer Software Engineering at Bahonar University of Shiraz
AI-Powered Financial Asset Forecasting: Predicts long-term US stock prices using AI. Integrates news sentiment, technical indicators, candlestick patterns, and fundamental analysis. Provides comprehensive insights for informed financial decision-making. Customizable data collection and analysis for investors and researchers.
Contributions:1 release, 137 commits, 78 PRs in 23 days
Contributions:16 PRs, 24 pushes, 27 branches in 4 years 2 months
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