About Isaac
I am a hands-on and results-oriented technology leader with 30 years of experience in developing and executing comprehensive technology strategies aligned with business goals and objectives. With a strong background in Machine Learning, Software Development, Digital Transformation, Digital Infrastructure, and Data Science & Analytics solutions, I have a proven track record of driving process improvement, executing initiatives, and establishing and executing on new business development and growth initiatives. I have experience leading multinational teams across the globe and building high-performing teams. I am deadline oriented, work well under pressure, and have excellent time management, presentation, and organizational skills.
English
Native or bilingual
Portuguese
Native or bilingual
German
Fluent
Spanish
Fluent
Hebrew
Fluent
Remote only
Primarily works remotely
Experience
- Behavioural AIDIRECTOR OF APPLIED AIMarch 2021 - Today (5 years and 3 months)• Developed a customer churn prediction model, reducing churn by 35% using XGBoost.• Developed and deployed fraud detection models, leveraging anomaly detection, autoencoders, and ensemble learning to identify fraudulent transactions in real-time.• Developed an LLM and RAG based Chatbot on Snowflake Cortex (Python, Streamlit, Docker, Mistral large LLM on AWS) to optimise customer interactions by enabling seamless, accurate responses to internal data queries, reducing operational time by 400%.• Built recommendation engines for personalised marketing and customer engagement, increasing conversion rates by 36% through collaborative filtering and deep learning.• Led the deployment of LLM-based AI solutions, implementing custom fine-tuned LLM with Microsoft DeepSpeed and HuggingFace Accelerate for enterprise applications.• Developed Data Ingestion and preparation pipelines (ETL/ELT) with Airflow, Azure Data Factory, PySpark/SparkSQL, Talend etc.• Development of a LLM and RAG based Virtual Assistant with Python, OpenAI API, LangChain, PineCone (Vector Database) and Streamlit.• Streamlined MLOps workflows, integrating CI/CD pipelines, feature stores, model tracking, and monitoring frameworks, reducing model deployment time by 50%.• Microsoft Azure tech stack: Designed machine learning platforms on Azure. Led cloud migration efforts to Azure including Snowflake, Data Factory, Synapse. Collibra (Data Catalog, Governance, Lineage, Quality & Observability and Privacy).
- Office for StudentsInterim Chief Data Officer – Chief Data OfficerFebruary 2023 - June 2023 (4 months)• Redefined the organisation's data strategy, enabling a seamless migration to a cloud-based platform, aligning talent, processes, and technology for enhanced operational efficiency.• Restructured the data function, establishing dedicated teams for engineering, governance, analytics, data science, and reporting to streamline operations and improve data utilisation.• Spearheaded cloud migration efforts, achieving a 33% reduction in operational costs (£1.5M), while fostering a culture of data-driven decision-making to accelerate insight delivery.
- ExinityInterim Chief Data Officer – Chief Data OfficerJune 2022 - February 2023 (8 months)• Orchestrated a comprehensive Data Transformation Programme, underpinning digital product development with robust data strategies.• Developed an LLM-based Assistant (ChatGPT, LangChain, Streamlit) for investment recommendation (Robo-Advisor) that consumed online market data to suggest shares to invest or divest.• Built a high-performing global data function, driving innovation and delivering measurable business impact.• Led cultural transformation initiatives, promoting data literacy and fostering effective adoption of AI-driven solutions across the organisation.
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Education
- PhdUniversity of TorontoPhD in Machine Learning
- MSc in Artificial IntelligenceWrexham University
Certifications
- Deep Learning for Natural Language ProcessingStanford University2021
- Professional Certificate in Machine Learning and Artificial IntelligenceImperial College London2024