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I am an AI/ML engineer and data scientist with over 9 years of experience delivering scalable machine learning solutions across fintech, healthcare, and logistics. I design predictive models, deep learning architectures, and end-to-end ML systems that drive measurable business impact. I am proficient in deploying production-ready solutions using Python, TensorFlow, PyTorch, and cloud-native platforms like AWS SageMaker. I work across ML Ops, model explainability, and translating data into high-value insights for decision-makers, collaborating closely with product, engineering, and analytics teams to turn complex data into practical business outcomes.…I am an AI/ML engineer and data scientist with over 9 years of experience delivering scalable machine learning solutions across fintech, healthcare, and logistics. I design predictive models, deep learning architectures, and end-to-end ML systems that drive measurable business impact. I am proficient in deploying production-ready solutions using Python, TensorFlow, PyTorch, and cloud-native platforms like AWS SageMaker. I work across ML Ops, model explainability, and translating data into high-value insights for decision-makers, collaborating closely with product, engineering, and analytics teams to turn complex data into practical business outcomes.

Rane Ali

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I am an AI/ML engineer and data scientist with over 9 years of experience delivering scalable machine learning solutions across fintech, healthcare, and logistics. I design predictive models, deep learning architectures, and end-to-end ML systems that drive measurable business impact. I am proficient in deploying production-ready solutions using Python, TensorFlow, PyTorch, and cloud-native platforms like AWS SageMaker. I work across ML Ops, model explainability, and translating data into high-value insights for decision-makers, collaborating closely with product, engineering, and analytics teams to turn complex data into practical business outcomes.…I am an AI/ML engineer and data scientist with over 9 years of experience delivering scalable machine learning solutions across fintech, healthcare, and logistics. I design predictive models, deep learning architectures, and end-to-end ML systems that drive measurable business impact. I am proficient in deploying production-ready solutions using Python, TensorFlow, PyTorch, and cloud-native platforms like AWS SageMaker. I work across ML Ops, model explainability, and translating data into high-value insights for decision-makers, collaborating closely with product, engineering, and analytics teams to turn complex data into practical business outcomes.

Available to hire

I am an AI/ML engineer and data scientist with over 9 years of experience delivering scalable machine learning solutions across fintech, healthcare, and logistics. I design predictive models, deep learning architectures, and end-to-end ML systems that drive measurable business impact.

I am proficient in deploying production-ready solutions using Python, TensorFlow, PyTorch, and cloud-native platforms like AWS SageMaker. I work across ML Ops, model explainability, and translating data into high-value insights for decision-makers, collaborating closely with product, engineering, and analytics teams to turn complex data into practical business outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Afar

Intermediate

Bashkir

Advanced

Javanese

Intermediate

Work Experience

Lead AI/ML Engineer at In Data Labs

April 1, 2021 - May 1, 2024

Led end-to-end deployment of ML forecasting systems across enterprise supply chain and retail use cases. Built production-ready ML pipelines with CI/CD workflows, and collaborated with product, engineering, and analytics teams to align outputs with business KPIs. Standardized experimentation tracking, versioning, and reproducibility across projects. Designed and deployed FastAPI-based microservices for model serving and monitoring. Drove regulatory alignment and FDA submissions in health-related projects.

Senior Data Scientist at In Data Labs

April 1, 2021 - May 1, 2024

Led development of deep learning pipelines (CNNs, LSTMs) for disease detection from OCT medical images; achieved 92% sensitivity in clinical evaluation of diabetic retinopathy models. Optimized deployment to edge devices using ONNX and TensorRT for real-time inference. Built semi-supervised labeling tools to streamline radiologist annotation workflows. Validated model performance using ROC-AUC, Cohen’s Kappa, and clinical benchmarks. Collaborated with regulatory and clinical teams on FDA submissions and validation protocols. Combined imaging data with structured EHR features for multimodal prediction. Applied active learning to reduce annotation costs and boost data quality across projects.

Machine Learning Engineer at Markovate

February 1, 2017 - September 1, 2020

Engineered fraud detection models using XGBoost and logistic regression, increasing precision by 17%. Built low-latency risk assessment pipelines integrated with transactional APIs. Designed automated data pipelines using Airflow, SQL, and Python for real-time ingestion and transformation. Enhanced feature engineering from raw financial signals to improve model stability across risk segments. Blended ML outputs with rule-based engines for scalable decision-making. Partnered with business stakeholders to define KPIs and monitor ML impact.