Jose María Hernández De La Cruz Email and Phone Number

- Design the integration of Generative AI technologies across various industry clients—including telecommunications, media, broadcasting, industrial, logistics, and healthcare—to enhance operational efficiency and reduce costs.- Author proposals and client documentation for Requests for Proposals (RFPs) and potential leads, effectively communicating complex AI solutions to meet client needs.- Collaborate closely with Sales and Business Development teams to design strategic Generative AI offerings, showcasing our portfolio and demos to potential clients.- Work with the Production team to establish benchmarks for Generative AI topics such as Large Language Models (LLMs), vector databases, embedding models, fine-tuning, tracing, and evaluation (using LangFuse and LangSmith), datasets, and prompt engineering techniques.- Participate in developing a Generative AI-powered Retrieval-Augmented Generation (RAG) chatbot for IT Desk and HR corporate documentation, improving internal knowledge access and employee efficiency.- Identify and recommend effective AI tools (SaaS solutions, GCP, Azure, AWS) for integration into client workflows, focusing on cost-efficiency, team impact, process improvement, and performance enhancement.- Collaborate closely with the Marketing team to create content—including posts, podcasts, YouTube Shorts, Instagram Reels, webinars, and ebooks—to enhance company visibility and establish thought leadership in the Generative AI space.- Participate in media and technology events, showcasing the company's offerings, expertise, and upcoming innovations to industry leaders and potential clients.

- Developed the Generative AI-powered Job Search feature, leveraging Reinforcement Learning from Human Feedback (RLHF) to optimize user experience and enhance job matching accuracy.- Utilized Azure OpenAI Service and Python to generate diverse data, assigning tasks to Generative AI that previously consumed hours for Engineering Linguists.- Managed data annotation initiatives, including creating guidelines, overseeing evaluations, consolidating results, and ensuring data quality.- Produced training and validation datasets for Machine Learning algorithms, handled data analysis, and assessed the performance of ML classifiers and models.- Enhanced the Experience section on LinkedIn profiles, resulting in a decrease in unassociated companies.- Refined the Skills feature by creating embeddings to interlink skills.- Spearheaded the development of LinkedIn's Economic Graph, the largest professional knowledge graph, with an emphasis on B2B SaaS and PaaS products and services.

Google Assistant:- Developed linguistic data to contribute to Google Assistant's grammar development, annotating and reviewing linguistic data in ES and ES-MX for NLG and NLU.- Enhanced AI learning through NSP (Neural Semantic Parsing).- Generated Python scripts to automate time-consuming tasks.- Created texts and TTS files for NLG used by Google Assistant on different devices (UX writing).- Improved NLU understanding through NER and intent recognition.

Voicebot development for an international hotel company.

Researcher at the LexEcon project.

Dishwasher and waiter.