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Houssain Youssfi
Mid-level AI/ML Engineer specializing in telematics, embedded systems, and MLOps
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About
Built and deployed a retail customer review intelligence platform by fine-tuning BERT for sentiment/topic extraction and pairing it with a recommendation component. Demonstrates strong production ML rigor (error analysis, relabeling/active sampling, thresholding/guardrails, OOD checks) and AWS-based orchestration at scale (Lambda + SageMaker with batching and concurrency controls), plus proven ability to align non-technical stakeholders on measurable outcomes.
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Key Strengths
- Built and deployed end-to-end customer review intelligence system (sentiment + topic modeling + recommendations) for retail
- Strong data-centric ML iteration: systematic error analysis, improved labeling, active sampling, imbalance handling
- Production reliability practices: threshold tuning and low-confidence routing instead of forced predictions
- Designed scalable AWS workflow orchestration (Lambda-triggered inference with SageMaker; batching, throttling, reserved concurrency)
- Defines measurable success criteria and business-aligned evaluation (e.g., recall on negative reviews)
- Effective cross-functional collaboration with product and customer support to translate vague goals into ML metrics
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