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Zuraika Azam

@zuraikaazam

Senior AI/ML Engineer at PeerAl building pharmaceutical document RAG workflows and citation checks that improved output quality by 30%.

United States

Message

At PeerAl, I architect AI workflows for pharmaceutical regulatory documents, from ingestion and retrieval to semantic search and automated knowledge workflows. I built production NLP and RAG workflows and citation verification that improved output quality by 30% and reduced document preparation time by 45%.

Previously, at YourHomeEstate, I designed a Databricks Lakehouse for real estate data products and built machine learning and NLP workflows for analytics and automation. At EY, I developed healthcare document intelligence and clinical NLP systems; earlier at Etyon, I worked on predictive models, recommendation systems, and NLP, including an LSTM recommendation model that improved performance by 16%.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

PeerAl

May 2024 - Present (2 years 5 months)

Architect and implement AI workflows for pharmaceutical regulatory documents, including ingestion, transformation, retrieval, semantic search, and automated knowledge workflows. Built production NLP and RAG workflows using Python, BigQuery, Firestore, Pub/Sub, Cloud Run, and Vertex AI.

Python BigQuery Firestore Pub Sub Cloud Run Vertex AI NLP RAG Semantic Search Vector Search LLM Evaluation Frameworks Citation Verification Claude Code GitHub Co Pilot ChatGpt SQL PySpark

Senior Data & AI Engineer

YourHomeEstate

Jun 2022 - May 2024 (1 year 11 months)

Partnered with sales, marketing, finance, and operations stakeholders to translate business challenges into data and AI requirements. Designed a Databricks Lakehouse integrating Salesforce CRM, marketing, property, and financial data into curated data products.

Databricks Unity Catalog Salesforce Data Architecture ETL Machine Learning NLP Chatbot Data Validation Automation

ML Engineer

Jan 2022 - Jun 2022 (5 months)

Designed and deployed machine learning and NLP systems for healthcare workflows involving EHR data, SOAP notes, discharge summaries, and diagnostic reports. Developed document intelligence and clinical NLP solutions for classification, information extraction, summarization, and semantic analysis.

Machine Learning NLP Electronic Health Records (EHR)Clinical Natural Language Processing (NLP)FHIR HIPAA AWS S3 Lambda Glue Redshift PostgreSQL LLM Feature Engineering Model Optimization

Data Scientist

Etyon

Feb 2019 - Dec 2021 (2 years 10 months)

Designed and productionized machine learning solutions for churn prediction, anomaly detection, forecasting, recommendation systems, NLP, and computer vision. Built NLP pipelines for text classification, entity and information extraction, summarization, and semantic search.