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Applied AI Engineer specializing in Generative AI, LLM-powered applications, and scalable backend systems. Experienced in building production-oriented AI platforms using FastAPI, LangChain, LangGraph, Neo4j, and RAG/semantic retrieval/knowledge-graph driven workflows. Strong background in healthcare AI and predictive analytics, with end-to-end orchestration of regulated, data-intensive AI systems—covering model training, benchmarking, ETL pipelines, and API/dashboard deployment for real-world clinical and public health use cases.…Applied AI Engineer specializing in Generative AI, LLM-powered applications, and scalable backend systems. Experienced in building production-oriented AI platforms using FastAPI, LangChain, LangGraph, Neo4j, and RAG/semantic retrieval/knowledge-graph driven workflows. Strong background in healthcare AI and predictive analytics, with end-to-end orchestration of regulated, data-intensive AI systems—covering model training, benchmarking, ETL pipelines, and API/dashboard deployment for real-world clinical and public health use cases.

Faiqa Ijaz

AI Engineer, Data Scientist, Software Engineer, +2

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Applied AI Engineer specializing in Generative AI, LLM-powered applications, and scalable backend systems. Experienced in building production-oriented AI platforms using FastAPI, LangChain, LangGraph, Neo4j, and RAG/semantic retrieval/knowledge-graph driven workflows. Strong background in healthcare AI and predictive analytics, with end-to-end orchestration of regulated, data-intensive AI systems—covering model training, benchmarking, ETL pipelines, and API/dashboard deployment for real-world clinical and public health use cases.…Applied AI Engineer specializing in Generative AI, LLM-powered applications, and scalable backend systems. Experienced in building production-oriented AI platforms using FastAPI, LangChain, LangGraph, Neo4j, and RAG/semantic retrieval/knowledge-graph driven workflows. Strong background in healthcare AI and predictive analytics, with end-to-end orchestration of regulated, data-intensive AI systems—covering model training, benchmarking, ETL pipelines, and API/dashboard deployment for real-world clinical and public health use cases.

Available to hire

Applied AI Engineer specializing in Generative AI, LLM-powered applications, and scalable backend systems. Experienced in building production-oriented AI platforms using FastAPI, LangChain, LangGraph, Neo4j, and RAG/semantic retrieval/knowledge-graph driven workflows.

Strong background in healthcare AI and predictive analytics, with end-to-end orchestration of regulated, data-intensive AI systems—covering model training, benchmarking, ETL pipelines, and API/dashboard deployment for real-world clinical and public health use cases.

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Work Experience

Associate AI Engineer at CureMD

July 1, 2024 - August 1, 2025

Built an OCR-based patient check-in and insurance extraction pipeline to automate extraction of demographics and insurance details from medical IDs and insurance cards. Implemented image preprocessing, OCR text extraction, and validation workflows to improve accuracy across diverse and low-quality scans, and integrated structured extraction into backend APIs for patient registration and insurance verification. Developed a clinical patient retrieval system using NER, Neo4j knowledge graphs, and embedding-based semantic search to support natural language patient similarity queries, including embedding generation, cosine similarity search, and a React chatbot UI, backed by a domain-specific knowledge graph over 50,000+ patient records and multiple clinical entity types.

AI Engineer at CureMD

July 1, 2024 - Present

Architected and developed an AI-powered medical search and conversational platform for clinicians, enabling evidence-based information retrieval and clinical decision support. Designed a multi-model router to classify and route queries to specialized tools, improving accuracy and domain reasoning. Built a multi-agent ecosystem for treatment planning, real-world evidence analysis, and clinical assessments integrating semantic search, LLM workflows, and FastAPI services with an Angular conversational interface. Also built an AutoML platform that lets clinical users generate ML models from natural language, automating EDA, feature engineering, validation, benchmarking, and hyperparameter tuning (e.g., XGBoost, Random Forest, neural networks). Developed a public health intelligence and forecasting platform using ETL pipelines and real-time risk scoring APIs over 600,000+ patient records; delivered probabilistic risk insights via FastAPI and an Angular dashboard across 15+ US states. Implem