I am Sonia Kaye, a Senior AI/ML Engineer with 8+ years of experience architecting and optimizing intelligent systems in data-centric environments. I specialize in Large Language Models, Generative AI, and enterprise-grade AI platforms, with proficiency in TensorFlow, PyTorch, scikit-learn, NLP, model lifecycle management, and MLOps. I have delivered advanced AI solutions for healthcare, including predictive analytics for patient outcomes, medical image interpretation, and clinical decision support. I excel at turning complex algorithms into scalable, production-ready solutions that blend classical ML with state-of-the-art generative AI, and I enjoy collaborating with product managers, data specialists, and software engineers to create meaningful AI capabilities that drive efficiency and informed decision-making.

Sonia Kaye

I am Sonia Kaye, a Senior AI/ML Engineer with 8+ years of experience architecting and optimizing intelligent systems in data-centric environments. I specialize in Large Language Models, Generative AI, and enterprise-grade AI platforms, with proficiency in TensorFlow, PyTorch, scikit-learn, NLP, model lifecycle management, and MLOps. I have delivered advanced AI solutions for healthcare, including predictive analytics for patient outcomes, medical image interpretation, and clinical decision support. I excel at turning complex algorithms into scalable, production-ready solutions that blend classical ML with state-of-the-art generative AI, and I enjoy collaborating with product managers, data specialists, and software engineers to create meaningful AI capabilities that drive efficiency and informed decision-making.

Available to hire

I am Sonia Kaye, a Senior AI/ML Engineer with 8+ years of experience architecting and optimizing intelligent systems in data-centric environments. I specialize in Large Language Models, Generative AI, and enterprise-grade AI platforms, with proficiency in TensorFlow, PyTorch, scikit-learn, NLP, model lifecycle management, and MLOps.
I have delivered advanced AI solutions for healthcare, including predictive analytics for patient outcomes, medical image interpretation, and clinical decision support. I excel at turning complex algorithms into scalable, production-ready solutions that blend classical ML with state-of-the-art generative AI, and I enjoy collaborating with product managers, data specialists, and software engineers to create meaningful AI capabilities that drive efficiency and informed decision-making.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Senior AI / Machine Learning Engineer at Navixus
November 1, 2022 - Present
Designed and delivered enterprise-scale applications powered by Large Language Models (LLMs), including conversational platforms and knowledge-driven assistants. Trained and refined transformer-based NLP models using PyTorch and TensorFlow for summarization, intent detection, categorization, and semantic retrieval. Engineered Retrieval Augmented Generation (RAG) pipelines integrating language models with vector databases to produce contextually grounded outputs. Built end-to-end ML workflows spanning data ingestion, feature preparation, model training, validation, and deployment automation. Exposed inference via REST APIs and service-based architectures to support low-latency, high-availability applications. Implemented model lifecycle controls including version tracking, automated testing, monitoring, and retraining strategies. Collaborated with product managers, data scientists, and software teams to translate business needs into AI-driven capabilities.
Machine Learning Engineer at Scopic
June 1, 2020 - October 1, 2022
Created predictive and analytical ML solutions using scikit-learn and TensorFlow to support forecasting, recommendations, and anomaly detection. Developed feature generation pipelines to enhance learning consistency across large datasets. Performed systematic experimentation and validation using classification and regression techniques. Implemented batch and near real-time inference pipelines to enable data-driven operational decisions. Collaborated with data engineering to streamline ETL workflows for training datasets. Produced technical documentation for governance, maintainability, and cross-team knowledge sharing.
Data Scientist / ML Engineer at AIpXperts
January 1, 2017 - February 1, 2020
Initiated professional career developing data-driven applications with a focus on machine learning and predictive analytics. Designed, implemented, and optimized ML models for trend analysis, classification, and rule-based decision systems. Led data preprocessing activities including cleansing, normalization, feature engineering, and transformation for analytical pipelines. Contributed to early-stage AI prototypes, exploring techniques to simulate human reasoning and decision making. Collaborated with senior engineers to integrate ML and analytical components into enterprise software solutions.

Education

Bachelor of Science at Cambridge International Education
January 11, 2030 - February 5, 2026
Bachelor of Science at Cambridge International Education
January 11, 2030 - February 5, 2026
Bachelor of Science at Cambridge International Education
January 11, 2030 - February 5, 2026
Bachelor of Science at Cambridge International Education
January 11, 2030 - February 5, 2026
Bachelor of Science at Cambridge International Education
January 11, 2030 - February 5, 2026
Bachelor of Science at Cambridge International Education
January 11, 2030 - February 5, 2026
Bachelor of Science at Cambridge International Education
January 11, 2030 - February 5, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Professional Services, Life Sciences, Media & Entertainment