Lead Machine Learning Engineer
Current• Prototyping, development, deployment, and monitoring of multi-modal neural network-based models for Information Extraction from expense documents (e.g., invoices and scanned receipts).• Leading the end-to-end setup and management of data annotation efforts by selecting suitable tools, developing and implementing data collection pipelines, formulating domain-specific ontologies, and managing project workflows, alongside crafting detailed guides for the data entry team, thereby ensuring an… Show more • Prototyping, development, deployment, and monitoring of multi-modal neural network-based models for Information Extraction from expense documents (e.g., invoices and scanned receipts).• Leading the end-to-end setup and management of data annotation efforts by selecting suitable tools, developing and implementing data collection pipelines, formulating domain-specific ontologies, and managing project workflows, alongside crafting detailed guides for the data entry team, thereby ensuring an efficient annotation process and high-quality dataset generation for ML model training.• Pioneering and prototyping of solutions utilising Large Language Models (LLMs) into our service offerings, enabling users to query their data with natural language, enhancing user experience and accessibility.• Designing, implementing, and testing data pipelines for the generation and transformation of heterogeneous data from multiple sources.• Development of automated ML pipelines on AWS for training data preparation, model training and testing.• Translating business propositions into new ML-based features.• Design and implementation of an automated recommendation system for workflows based on past user activity. Show less
