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Alex Rivera
Machine Learning Engineer
alex.rivera@example.com+1 (555) 123-4567San Francisco, CAgithub.com/alexrivera
ML engineer with 5+ years building and deploying large-scale models. Focused on LLM systems, recommendation, and production MLOps.
Experience
Senior ML EngineerJan 2022 – Present
Frontier AI Labs
- Led training of a 7B-parameter retrieval-augmented model, improving answer accuracy by 18%.
- Built a feature store serving 2M predictions/day with p99 latency under 40ms.
- Mentored 4 engineers and ran the weekly model-review forum.
ML EngineerJun 2019 – Dec 2021
DataScale
- Shipped a deep recommendation system that lifted engagement 12%.
- Reduced model training cost 35% via mixed-precision and data pipeline tuning.
Education
Stanford University2017 – 2019
M.S., Computer Science (ML)
Focus on deep learning and NLP. GPA 3.9/4.0.
Skills
PythonPyTorchTensorFlowTransformersLLMsSQLSparkKubernetesAWSMLOpsDistributed Training
Projects
OpenEval · github.com/alexrivera/openeval
- Open-source LLM evaluation harness with 1.2k stars.
- Supports custom rubrics and pairwise model comparison.