Hire Ricardo L. - Prompt Engineer - San Francisco

Individual contributor on the Editorial AI team, driving innovation in Python, SQL, and NLP at the intersection of content, LLMs, and workflow automation. Architected and scaled AI-driven content solutions in Microsoft's 'Darwin' environment using prompt engineering and Python. Built and maintained robust Python/SQL/Flask data visualizations, unifying multi-source editorial and engagement metrics, prioritizing privacy and performance. Championed GitHub best practices, enabling reproducible development via Jupyter notebooks and and automated CI/CD. Evaluated and integrated state-of-the-art LLMs (GPT, Gemini, Qwen, open source) in production and research for scalable content summaries and aggregates. Collaborated globally with cross-functional teams, aligning technical solutions with strategic content goals; provided SQL expertise. Delivered training on new AI-assisted tools (e.g., Glean) and workflows, accelerating Editorial's adoption of LLMs and Python automation.

In the Data AI department, I use computational linguistics techniques to extract data points for classification rules that tag finance news. I also analyze alternative datasets. Using Python, I create human-in-the-loop processes that semi-automate keyword extraction, mark-up language tagging and analytics over news data. I also develop custom solutions using inner and outer sourced data and python libraries that wrap NLP techniques.