Rayan Ali
@rayanali
I am an AI/ML engineer delivering production-ready ML solutions.
What I'm looking for
I am an AI/ML engineer and data scientist with over nine years building scalable machine learning solutions across fintech, healthcare, and logistics. I design predictive models and deep learning architectures, lead MLOps implementation with AWS SageMaker, MLflow and Airflow, and translate data into measurable business outcomes—reducing inventory stockouts 22% and improving fraud capture by 45%.
I have led teams of 6+ engineers and scientists, delivered clinical-grade imaging models (92% sensitivity) and HIPAA-compliant inference pipelines, and guided FDA-aligned validation and regulatory submissions. I focus on reproducible experimentation, low-latency model serving, explainability (SHAP/LIME), and mentoring cross-functional teams to operationalize impactful AI systems.
Experience
Work history, roles, and key accomplishments
Lead AI/ML Architect
ForecastFlow
Mar 2022 - Present (3 years 6 months)
Architected and led deployment of cloud-native ML forecasting systems for enterprise supply chain and retail use cases, reducing inventory stockouts by 22%. Established MLOps pipelines with AWS SageMaker, MLflow and Airflow and directed a team of 6+ engineers to implement CI/CD and low-latency FastAPI model serving.
Senior Data Scientist
InDataLabs
Nov 2018 - Dec 2021 (3 years 1 month)
Led development of deep learning pipelines for disease detection from OCT images, achieving 92% sensitivity in clinical evaluation and optimizing edge deployment with ONNX and TensorRT for real-time inference. Built semi-supervised labeling tools, validated models with ROC-AUC and Cohen's Kappa, and supported FDA submission and clinical validation workflows.
Machine Learning Engineer
Markovate
Jan 2016 - Oct 2018 (2 years 9 months)
Engineered fraud detection and credit scoring models using XGBoost and logistic regression, increasing precision by 17% and integrating low-latency risk pipelines with transactional APIs. Designed Airflow-based data pipelines, implemented SHAP/LIME explainability and conducted A/B and uplift testing to validate ML impact on approval rates.
Education
Degrees, certifications, and relevant coursework
Rayan hasn't added their education
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