Andrew Lagree
Data and Ai Delivery Consultant @IBM
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WORK HISTORY
Data and Ai Delivery Consultant @IBM
Spearheaded the development of Retrieval-Augmented Generation (RAG) solutions using watsonx.ai, watsonx.assistant, and Elasticsearch, enabling clients to query large-scale unstructured data efficiently and securely, improving decision-making processes.• Collaborated with cross-functional teams to deliver on-premise AI solutions, including chatbot implementations for document search and summarization, ensuring compliance with strict data privacy regulations.• Optimized enterprise workflows by integrating AI and machine learning techniques for document ingestion, vector embedding, and advanced natural language processing (NLP) tasks, reducing processing time by up to 60%.• Demonstrated technical leadership by architecting and deploying scalable solutions using OpenShift, Python, and AWS, addressing complex business challenges while aligning with client ecosystems.
EDUCATION
University of Toronto
Certificate, Business Foundations
York University
Master of Science (M.Sc.), Health Science Specializing in Biomechanics
York University
Spec. Hon. Bachelor of Science (B.Sc.), Health Science
University of Toronto
Certificate , Data Science
SKILLS
ABOUT ANDREW LAGREE
I lead the design and delivery of enterprise Generative AI programs—specializing in RAG systems, LLM application architecture, and secure on-prem/cloud deployments. With a background spanning AI research, data science, and engineering leadership, I help organizations turn AI strategy into measurable outcomes.What I Do • Lead GenAI and RAG programs end-to-end: discovery → architecture → build → production • Architect LLM applications using watsonx, Elasticsearch, Milvus, PostgreSQL, AWS, Azure, and OpenShift • Manage multi-month delivery timelines, budgets up to $1M, and cross-functional teams of 2–7 • Partner with directors, architects, and security teams to align business goals with technical reality • Implement governance, guardrails, PII remediation, and responsible-AI controlsPrograms & Impact • Legal RAG System (Retail): Designed and led delivery of a contract-analysis chatbot ingesting documents; deployed guardrails and PII scrubbing; accelerated legal research workflows. • SOP Search & Knowledge Assistant (Finance): Built a RAG solution enabling employees to query SOPs and operational policies; improved findability and compliance accuracy. • Text-to-SQL Assistant (Finance): Architected an LLM-driven query layer over PostgreSQL for natural-language analytics and auto-generated graphs, enabling non-technical teams to explore data safely. • Synthetic Data Platform: Led design of a multi-database synthetic data engine to support unit tests and system development, improving developer velocity while protecting sensitive data.How I Lead • Act as technical lead on every engagement, guiding engineers and onboarding new team members • Mentor staff through hands-on shadowing, code reviews, design sessions, and AI best-practice training • Teach fundamentals of data science, ML, and GenAI to employees expanding into AI roles • Build delivery playbooks and repeatable architectures for scalable enterprise AI programsTechnical Focus Areas RAG Architecture • LLM Application Design • GenAI Program Delivery • AI Engineering Leadership • Text-to-SQL • AI Governance & PII Controls • watsonx.ai/Assistant • Elasticsearch • AWS & Azure • OpenShift • Vector Databases • Data Science & MLOpsI’m passionate about leading teams, architecting AI systems that solve real business problems, and scaling programs across finance, retail, healthcare, and tech.
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