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Khadija Latif

@khadijalatif

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Senior AI engineer delivering production-grade healthcare AI, LLM and multi-agent systems at scale.

Pakistan

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What I'm looking for

I seek roles building scalable, compliant healthcare AI and LLM systems, emphasizing reliability, measurable impact, cross-functional collaboration, and career growth in MLOps/AI engineering.

I am a Senior AI Engineer with seven years of experience building production-grade AI systems across healthcare, clinical research, and data platforms.

I have led teams to deliver GenAI microservices and multi-agent orchestration platforms serving 50k+ daily users, reducing content preparation time by 12% and improving agent output consistency by 7%.

My technical work spans LLMs, RAG pipelines, ASR/audio AI, ML modeling, ETL and scalable backend services using Python, FastAPI, Docker, Kubernetes and cloud platforms (GCP, AWS, Azure).

I prioritize reliability, compliance and measurable business impact, and I collaborate cross-functionally to translate analytical insights into clinical AI solutions, observability and model evaluation frameworks that support regulatory and clinical decision-making.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Etyon

Oct 2024 - Present (1 year 4 months)

Led delivery of a GenAI microservices platform serving 50k+ daily users, reduced content prep time by 12%, and improved agent output consistency by 7% through advanced prompt engineering and multi-agent orchestration.

Python fastAPI Docker Vertex AI Pub Sub MLFlow Prompt Engineering

Senior Data Scientist

Etyon

Jun 2022 - Sep 2024 (2 years 3 months)

Built and evaluated healthcare AI solutions including ambient AI, clinical chatbots, SOAP note generation and automated Clinical Study Report generation, improving compliance and authoring efficiency.

Hugging Face PyTorch MLFlow SpaCy Data Engineering Model Evaluation

Data Scientist

Etyon

Jun 2019 - Sep 2024 (5 years 3 months)

Built ETL pipelines for large-scale medical billing data, delivered LLM/NLP solutions processing millions of documents, and implemented real-time fraud detection handling 10k+ events/sec.

ETL Python RAG Random Forest XGBoost Tableau data preprocessing

Machine Learning Engineer

Devsinc

Oct 2018 - Jun 2019 (8 months)

Contributed to early-stage ML and data analytics projects, implemented ML models (Logistic Regression, Random Forest, XGBoost), and developed HIPAA-compliant APIs and ASR/NLP pipelines for healthcare products.