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Omar Ali
Entry-level Data Scientist specializing in AI evaluation and analytics
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About
Built both traditional data infrastructure and LLM-powered product workflows, spanning a Python/SQL ETL deployment at Amazon and an adaptive learning system for their DataLingo platform. Particularly interesting for roles at the intersection of data engineering, applied AI, and customer-facing product delivery, with hands-on experience stabilizing probabilistic LLM systems in production.
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Key Strengths
- End-to-end data pipeline ownership from discovery through stabilization
- Built Python/SQL ETL pipeline that reduced processing time by 30%
- Strong cross-functional stakeholder management with technical and non-technical teams
- Translates technical progress into clear non-technical updates
- LLM workflow production experience for personalized learning content
- Improved relevance and engagement through dynamic user-data-driven prompting
- Debugging non-deterministic LLM behavior with guardrails and monitoring
- Designed validation, logging, fallback, and retry patterns for messy real-world data
- Proactive mitigation of customer impact during production issues
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