AIML Engineer focused on building real-world ML systems that make reliable decisions under business constraints. Interested in product ML and decision-driven AI
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shadow-deployment-evaluation-system
shadow-deployment-evaluation-system PublicIndustry-style shadow deployment system for evaluating ML models safely before production rollout
Python
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silent-failure-detector-for-ML-pipelines
silent-failure-detector-for-ML-pipelines PublicDetects silent ML failures using data drift monitoring (PSI & KS-test)
Python
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AI-Decision-Experimentation-Impact-Platform
AI-Decision-Experimentation-Impact-Platform PublicProduct-focused AI decision experimentation platform for evaluating ML-driven policies using business impact metrics.
Python
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retail-media-ai
retail-media-ai PublicIndustry-grade retail media bidding and budget optimization platform using AI
Python
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