Ali Almansouri
@alialmansouri
Senior AI/ML Engineer with expertise in GenAI and algorithm optimization.
What I'm looking for
With over 8 years of experience in the AI and machine learning domain, I specialize in delivering innovative solutions that leverage advanced technologies such as Generative AI and algorithm optimization. My journey has been marked by a commitment to enhancing the precision and relevance of AI outputs, particularly in clinical settings. At GeneDx, I led the design and deployment of clinical summarization pipelines, utilizing large language models and retrieval-augmented generation techniques to significantly improve the quality of generated summaries.
My professional experience spans various roles where I have developed and productionized models for anomaly detection and predictive analytics. At Datadog, I engineered high-performance model scoring APIs and orchestrated CI/CD pipelines, ensuring seamless integration of machine learning services into operational workflows. My technical expertise includes deploying ML models, fine-tuning large language models, and automating workflows using AWS SageMaker and MLflow. I thrive in collaborative environments, working closely with cross-functional teams to define data formats and operational SLAs for machine learning services.
Experience
Work history, roles, and key accomplishments
Senior Machine Learning Engineer
GeneDx
Feb 2022 - Present (3 years 4 months)
Led the design and deployment of clinical summarization pipelines using large language models and retrieval-augmented generation (RAG) techniques. Fine-tuned LLMs with LoRA on biomedical datasets, significantly enhancing factual precision and contextual relevance of generated summaries.
AI/ML Engineer
Datadog
Apr 2020 - Feb 2022 (1 year 10 months)
Developed and productionized anomaly detection models for time-series log data using Isolation Forest and probabilistic profiling techniques. Designed and deployed transformer-based summarization models to auto-generate incident narratives, reducing SRE manual triage efforts.
ML Engineer
Trilliant Health
Oct 2017 - Mar 2020 (2 years 5 months)
Developed predictive models for hospital readmission risk using LightGBM, trained on structured EHR and claims data. Designed real-time scoring pipelines with Kafka and Spark Streaming, enabling sub-second delivery of risk assessments to clinician dashboards.
Education
Degrees, certifications, and relevant coursework
Texas State University
Master of Science, Mathematics
Completed a Master of Science in Mathematics. Focused on advanced mathematical concepts and their applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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