M

Moh Abdullah

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New York, United States

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Résumé

Jobs verified_user 0% verified
  • L
    Senior Machine Learning Engineer
    Luma Al
    Jan 2023 - Current (3 years 6 months)
    • Designed large-scale machine learning models for representation learning, predictive analytics, and data-driven decision systems operating within high-throughput production environments. • Built feature-rich ML pipelines capable of processing structured and unstructured datasets, including data preprocessing, feature extraction, and embedding generation for downstream inference tasks. • Led scalable training workflows covering hyperparameter optimization, model evaluation, and performance benchmarking across GPU-accelerated infrastructure. • Managed complete machine learning lifecycles encompassing dataset versioning, reproducible experimentation, model packaging, and controlled promotion to production systems. • Deployed cloud-native ML
  • Marqeta
    AI / ML Engineer
    Marqeta
    Mar 2020 - Dec 2022 (2 years 10 months)
    • Architected and deployed AI-powered transaction monitoring and anomaly detection systems using advanced agentic machine learning workflows to strengthen fraud detection across high-volume payment streams. • Executed predictive risk scoring and decision intelligence engines by integrating historical and real-time transactional data to streamline payment authorization and reduce false positives. • Created scalable feature engineering pipelines for structured and unstructured payment datasets, enabling high-quality inputs for multiple machine learning models and real-time scoring systems. • Scaled machine learning workloads across Kubernetes clusters, Docker containers, and serverless cloud infrastructure to support high-throughput productio
  • VTEX
    Artificial Intelligence Engineer
    VTEX
    Jan 2018 - Feb 2020 (2 years 2 months)
    • Led the development of AI-powered personalization and recommendation engines for enterprise e-commerce platforms, increasing customer engagement and improving conversion rates across global storefronts. • Coordinated end-to-end machine learning workflows, including data ingestion, feature engineering, model training, evaluation, and REST API integration for production deployment. • Developed real-time adaptive ranking and session-aware personalization systems leveraging embeddings, sequence models, and hybrid retrieval pipelines to power dynamic product recommendations. • Refined recommendation model inference and supporting data pipelines for high-traffic environments, improving system latency, throughput, and reliability. • Worked along
Education verified_user 0% verified
  • O
    Bachelor of Computer Science
    Other
    Jul 2013 - Jun 2017 (4 years)