Dr. Marcus Thompson

Leading machine learning research initiatives and developing production-scale ML systems. Responsible for research strategy, model development, and cross-functional collaboration.

• Developed novel transformer architecture for multilingual NLP, achieving 15% improvement over BERT
  PyTorch Transformers NLP Research
• Built end-to-end MLOps pipeline serving 50M+ predictions daily with 99.9% uptime
  MLflow Kubernetes AWS Docker
• Led team of 6 researchers in developing computer vision models for medical image analysis
  Computer Vision Medical AI Team Leadership
• Published 8 papers in top-tier conferences (NeurIPS, ICML, ICLR) with 500+ citations
  Research Publications Academic Writing
• Optimized distributed training pipeline reducing model training time by 60%
  Distributed Computing GPU Optimization Performance

Developed and deployed machine learning models for business applications. Collaborated with product teams to integrate AI capabilities into existing systems.

• Built recommendation system increasing user engagement by 35% and revenue by $2M annually
  Collaborative Filtering Deep Learning A/B Testing
• Implemented real-time fraud detection system reducing false positives by 40%
  Anomaly Detection Stream Processing Kafka
• Developed automated feature engineering pipeline processing 1TB+ daily data
  Apache Spark Python Data Engineering
• Created explainable AI dashboard for model interpretability and compliance
  SHAP LIME Model Interpretability Compliance