Open to opportunities

Ayesha User

@ayeshauser7

Message

Senior Machine Learning & Data Scientist specializing in Generative AI and LLMs.

United States

Message

What I'm looking for

I seek roles where I can build and productionize Generative AI/LLM solutions in healthcare, contribute to HIPAA-compliant MLOps, mentor teams, and drive measurable clinical and fraud-detection impact.

I am a Senior Machine Learning & Data Scientist Engineer with over 8 years of experience delivering scalable AI and ML solutions, focused on Generative AI and Large Language Models for healthcare and fraud detection.

I design and deploy end-to-end machine learning pipelines and HIPAA-compliant MLOps workflows using tools such as PySpark, SQL, AWS, Azure, Databricks, MLflow, and Airflow to accelerate deployment cycles and enable near real-time experimentation.

My work includes building RAG frameworks, LLM-driven NLP workflows, and high-volume data pipelines that improved clinical documentation efficiency by 35%, cut feature engineering time by 50%, sped claims processing by 40%, and achieved 92% diagnosis prediction accuracy.

I mentor and upskill junior engineers, champion cross-functional collaboration with clinicians and product teams, and drive productionization of enterprise-grade pilots—bringing measurable impact through robust validation, monitoring, and MLOps best practices.

Experience

Work history, roles, and key accomplishments

Current

Senior ML Engineer & Data Scientist

Current

Pacto Medical

Jun 2022 - Present (3 years 4 months)

Designed and deployed end-to-end ML and LLM solutions for clinical decision support, claims analytics, and prior authorization automation, achieving 40% faster claims processing and 92% diagnosis prediction accuracy while reducing deployment cycles by 30%.

Pyspark SQL AWS Sagemaker Databricks MLFlow RAG LLMs MLOps LLM

Data Scientist / AI/ML Solutions Engineer

Tevpro

Feb 2018 - May 2022 (4 years 3 months)

Delivered end-to-end AI/ML solutions and scalable MLOps workflows for fraud detection and analytics across cloud platforms, enabling sub-millisecond inference and reducing manual investigations by 30%.

Fraud Detection AWS Azure GCP)Docker Kubernetes CI CD REST APIs GCP

Junior ML Engineer

Mojotech

Jan 2015 - Jan 2018 (3 years)

Preprocessed and engineered features for ML workflows, developed foundational classification and regression models, and built dashboards to monitor predictions and communicate insights to stakeholders.

Data Cleaning Python Dash Model Evaluation Classification