Open to opportunities

Saime User

@saimeuser

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Machine Learning Engineer and Data Scientist building production-grade AI solutions for healthcare and e-commerce.

United States

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What I'm looking for

I seek senior ML/AI roles building production ML systems with strong MLOps, collaborative teams, and opportunities to impact healthcare or e-commerce products.

I am a Machine Learning Engineer and Data Scientist with over six years of experience designing data-driven, production-grade AI systems across healthcare, e-commerce, and enterprise platforms.

I build scalable data pipelines, develop predictive and deep-learning models, and deploy reliable ML services using MLOps best practices such as MLflow, Kubernetes, and CI/CD.

My work has delivered measurable impact: boosting ad click-through rates by 20%, reducing inference time by 40%, improving processing speed by 35%, and increasing product sales and engagement across projects.

I collaborate with cross-functional teams and domain experts to create HIPAA-compliant telehealth pipelines, clinical NLP solutions, and real-time analytics, focusing on model explainability and operational monitoring.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

Alchemative

Mar 2023 - Present (2 years 7 months)

Developed and deployed deep learning and transformer-based models for recommendations and automated customer support, boosting ad click-through rates by 20% and reducing inference time by 40% through optimized microservices.

TensorFlow PyTorch Transformers fastAPI Docker Apache Kafka Spark MLFlow MLOps

Senior Software Engineer - AI/ML

TapestryHealth

Feb 2021 - Mar 2023 (2 years 1 month)

Built HIPAA-compliant AI pipelines and NLP models for clinical text summarization and disease risk scoring, increasing real-time processing speed by 35% and user engagement by 10% via A/B testing.

AWS Sagemaker TensorFlow SpaCy Apache Spark Kafka Airflow Docker EC2 S3

Software Engineer

Quinnox

Jul 2019 - Feb 2021 (1 year 7 months)

Implemented ETL pipelines and computer vision systems for defect detection, improving data accuracy by 25% and data integrity by 15% while delivering REST APIs to serve models at scale.