John Garbarino

Solution Ai Architect @LPL Financial

Fort Mill, SC, US

Led the design and implementation of enterprise-scale AI architectures at LPL Financial. Designed and implemented enterprise-scale AI architectures integrating ML, DL, NLP, computer vision, generative AI, and LLMs.Led end-to-end AI project lifecycles, from data acquisition and model development to deployment, monitoring, and optimization. Architected data pipelines and feature engineering workflows using Spark, Kafka, and cloud-native platforms.• Integrated various AI technologies to drive business transformation, achieving a 35% boost in model performance. • Established MLOps practices and AI governance frameworks, ensuring compliance and ethical AI deployment. • Achieved a 40% reduction in inference latency, enhancing overall project efficiency and ROI.Developed a team focused cross functional culture to enable citizen developers, collaborating across teams to collaborate across data scientists, engineers, product leadership and business team to align AI strategy with organizational objectives. Mentored AI teams and designers to help guide architecture decisions for long-term scalability and innovation. Fostered a progress over perfection mindset and constantly evaluate emerging technologies to research and prototype new AI tools, frameworks, and methodologies to maintain a competitive edge.AI Methods: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, Predictive Analytics, Generative AI, LLMs (Large Language Models), AI Model Lifecycle, Data Pipeline Architecture, Edge AI Deployment, Model Serving & Inference Optimization, MLOps (Machine Learning Operations), TensorFlow, PyTorch, Keras Scikit-learn, Hugging Face, LangChain, Vector Databases (e.g, Pinecone, Milvus), AWS SageMaker, Azure AI, Google Vertex AI, Databricks, Snowflake, Docker, Kubernetes, Apache Spark, Kafka