# Jose Antonio Moreno > Forward Deployed Engineer @ Labelbox | Frontier AI Data | Agentic Engineering Location: Berkeley, California, United States Profile: https://flows.cv/joseantoniomoreno ## Work Experience ### Forward Deployed Engineer @ Labelbox Jan 2025 – Present | San Francisco, California, United States Designing, building, and delivering high-fidelity reinforcement learning environments used by leading AI labs to train models on real-world software engineering tasks, owning the full lifecycle from concept and architecture to deployment and iteration while driving product and technical strategy. ### Founder @ KnockoutAI Jan 2025 – Jan 2025 | San Francisco Bay Area KnockoutAI is an intelligent candidate screening service that keeps hiring managers in the loop, ensuring excellent hiring outcomes while letting you hire 10x as fast. Better than traditional ATS systems, automatically screen and categorize thousands of candidates at once. ### Senior Data Engineer @ DNV Jan 2024 – Jan 2025 | United States Reduced Azure Databricks costs by 50%, implemented Postgres optimizations that led to 10x read/write improvements for customer-facing applications, led development and adoption of agentic AI tools in the energy management space. ### ML Data Engineering - Tech Lead @ IBM Jan 2021 – Jan 2025 | San Francisco Bay Area Data engineer building multi-lingual data collection pipelines to train speech models for automated drive-thru experiences at Watson Orders. Led the development of an ensemble speech recognition model, which leverages LoRA-tuned SOTA speech-to-text models to generate high-quality annotations used to train downstream ML models. Designed training, inference and eval of highly configurable, cross-domain LLM agents. ### Data Engineer III (Acquired by IBM) @ McD Tech Labs Jan 2021 – Jan 2021 | Mountain View, California, United States Data engineer building multi-lingual data collection pipelines to train machine learning models for automated drive-thru experiences. Deployed language identification RNN-T model to identify useful Spanish audio from thousands of hours of daily audio in production. This data was labelled, enriched, and structured in a way that enabled the development of bilingual order-taking models in McDonald's drive-thrus. ### Software Engineer @ Capital One Jan 2019 – Jan 2021 | San Francisco Bay Area ### Associate Software Engineer @ Capital One Jan 2018 – Jan 2019 | San Francisco Bay Area Working on the EventHub team to build a complex event processing system that leverages streaming data while facilitating real-time data transformations. ### Program Manager Intern @ Microsoft Jan 2018 – Jan 2018 | Redmond Worked on the Hyper-V team to improve the virtualization experience for developers working in local and cloud environments. Worked with partner teams to understand virtualization systems architecture in Azure and find opportunities for improvement. Gathered user-behavior insights through a data-drive approach using internal telemetry streams from thousands of virtual machines. ### Software Engineering Intern @ Capital One Jan 2017 – Jan 2017 | San Francisco Bay Area Built the search functionality for an internal web application focused on connecting teams with emerging technology startups outside of the company. Primarily used Neo4j, ElasticSearch, Swagger APIs, and Angular. ### Venture Capital Intern @ Purdue Ventures Jan 2017 – Jan 2017 | Purdue University Analyzed and interacted with Purdue-based startups for investment opportunities on behalf of Purdue Ventures' Elevate Purdue Foundry Fund, which totals $2 million. First intern hired for this position. ### Data Analytics and Predictive Modeling Intern @ Northwestern Mutual Jan 2016 – Jan 2016 | Greater Milwaukee Area Designed and implemented k-nearest-neighbor model to identify clients with high propensity to purchase additional insurance products based on various data-sets available within the company as part of a case study. Outlined plan of execution to leverage predictive models and other machine learning algorithms as part of Northwestern Mutual's technology strategy. Worked with team to explain and present findings to executive leadership. Created intuitive tool that leverages Levenshtein Distance algorithm and N-grams for theme identification, removal of filler words, and sentiment analysis to expedite user survey analysis Developed Interactive unit cost forecasting model for senior executive. ### Campus Representative @ Soylent Jan 2015 – Jan 2016 | Purdue University Organized a marketing and distribution team to educate my college community about the convenience and nutritional impact of Soylent. ### Advanced Development Engineer - Driver Assist Intern @ Fiat Chrysler Automobiles (FCA) Jan 2015 – Jan 2015 | Auburn Hills Worked in the Advanced Driver Assistance Systems department: Responsible for full scope of Six Sigma Project related to camera quality and systems testing. Designed and outlined tests for sensor functionality in winter weather using wind tunnel. Created test fascias for sensor calibration through rapid manufacturing processes, saving $5000 in shipping and time costs. ## Education ### Master's degree in Computer Science Georgia Institute of Technology ### Bachelor’s Degree in Computer Engineering Purdue University ## Contact & Social - LinkedIn: https://linkedin.com/in/j0sem0reno --- Source: https://flows.cv/joseantoniomoreno JSON Resume: https://flows.cv/joseantoniomoreno/resume.json Last updated: 2026-04-11