# Chris Paradis > AI @ Harvey Location: San Francisco Bay Area, United States Profile: https://flows.cv/chrisparadis ## Work Experience ### Software Engineer, Machine Learning @ Harvey Jan 2025 – Present | San Francisco Bay Area ### Machine Learning Engineer @ Airbnb Jan 2024 – Jan 2025 | San Francisco Bay Area Agentic AI, RAG, AI Evaluations, and Data. Co-inventor on “Self Improving Assistant: A Dynamic Framework for Task Learning and Adaptation,” a patent-pending agentic AI framework that autonomously learns, adapts, and scales new functionalities. ### Engineering Manager, Machine Learning @ Apple Jan 2022 – Jan 2024 | San Francisco Bay Area Led AppleCare's Generative AI initiative, securing executive buy-in and delivering a production system that supports thousands advisors with millions of weekly responses. Architected a scalable generative AI solution using MoE models, fine-tuning, RAG/personalization, and real-time inference optimizations. Delivered an 8× latency reduction while achieving a 85% measured performance improvement. Shaped AI strategy at the executive level, modernized conversational platforms, and built a top-tier 24-person ML team. ### Senior Machine Learning Lead @ Apple Jan 2020 – Jan 2022 | San Francisco Bay Area Led cross-functional ML initiatives at Apple, leading a team of 9 and driving NLP advancements, geo expansion strategies, and data annotation tools. Reduced model expansion costs by 30%, effort by 80%, and improved data-driven accuracy by 12.5%. Spearheaded high-impact projects, mentored junior engineers, and elevated Apple’s internal ML community through conferences, tools, and events. ### Machine Learning Engineer @ Apple Jan 2017 – Jan 2020 | San Francisco Bay Area - Led effort to increase coverage of team’s core machine learning product by 9% and classification accuracy by 12.5% through various application level and model improvements. - Cut training time of a production deep learning model by ~90% through rethinking/rewriting entire machine learning pipeline and model training process. Simultaneously increased accuracy of model by 10%. ### Machine Learning Engineer Intern @ Apple Jan 2016 – Jan 2016 | Cupertino, CA Utilized data mining, Markov chain, and supervised learning techniques to glean insights from new and previously unexplored data at Apple in order to develop a fraud detection system. Responsible for the entire pipeline including data collection, data wrangling, model training, and model deployment. ### Data Science Intern @ Symantec Jan 2015 – Jan 2015 | Mountain View, CA Developed key features for virus visualization and containment tool as a member of the data science team. Implemented the first instance of Apache Cassandra for the Data Services group. Completed dashboarding solutions to provide valuable insights in Oracle database performance and health. ### Software Developer @ Buttercoin Jan 2015 – Jan 2015 | Palo Alto, CA Developed a Node.js application to test Buttercoin’s services extensively and provided bug fixes as necessary. ### IT Analyst Intern @ Cisco Jan 2014 – Jan 2014 | San Jose, CA Ranked a top 5 intern in the GITS department. ## Education ### Master of Science (M.S.) in Information Technology and Web Science - Data Science and Analytics Rensselaer Polytechnic Institute ### Bachelor of Science (B.S.) in Information Technology and Web Science - Web Science Rensselaer Polytechnic Institute ### Bellarmine College Preparatory ## Contact & Social - LinkedIn: https://linkedin.com/in/christopherjparadis --- Source: https://flows.cv/chrisparadis JSON Resume: https://flows.cv/chrisparadis/resume.json Last updated: 2026-04-11