Bringing the best of user centric product design and state of the art AI to uplift the legal industry and support legal practitioners all over the world.

Leading Google Cloud's global vision, go-to-market strategy and execution for AI and Analytics solutions for the Media and Entertainment Industry globally.Exploring opportunities for Blockchain in the cloud to transform the Media and Entertainment Industry.

• Led the Machine Learning and Analytics practice in Google Cloud North America for the Telecommunication and Media & Entertainment Industry team.• Provided strategic consulting to executives on more than 15 of the largest media studios and CSP providers in North America (including Fox, NBCU, Disney, Verizon, AT&T) in areas such as MLOps, scalable ML, Personalization, Marketing Analytics, Data Mesh, Streaming Analytics, and Data and Model Governance. This resulted in $XXXM in annual revenue through the consumption of Google Cloud services.• Program Managed the creation of a new AI based on Google Cloud global services for Media Asset Management and led flagship customer such as Fox Sports through pilots of these solutions.• Led the creation of 3 cross-functional customer pilots for the utilization of Google's geo analytic capabilities for wireless telecommunication network planning and optimization.

• Designed and executed a corporate strategy for the adoption of AI technologies (Traditional ML and Deep Learning) across comercial opportunities, consumer analytics and content creation.• Established a Center of Excellence for Advanced Analytics, hiring and mentoring teams of Data Scientists, Engineers, Product Mangers and Software Developers focused on building data driven products.• Led several cloud migration efforts focused on reducing data center footprint (70% reduction) and increase data visibility through a centralized data lake in the AWS cloud.• Led the development of several forecasting models that improved demand and supply forecast accuracy for advertisements products by 30% as part of an Ad Sales transformation strategy through price, plan and yield optimization.• Developed a consumer segmentation product that increased visibility into consumer behavioral profiles and increased engagement in social media and digital marketing platforms by 60%.• Executed on a data democratization strategy to enable non-technical users to adopt data driven decision making through training and new technologies from partners such as AWS, AWS, Tableau and DataIKU.

• Created an Advanced Analytics team focused on the adoption of Natural Language Processing (NLP) and Big Data technologies across the organization.• Established operational model for the team including consumer engagement strategy, agile development, software development best practices, technology stack, model governance and data governance.• Designed and implemented a blueprint architecture to support a large scale and multi-tenant platform for machine learning projects across the firm, named Machine Learning as a Service (MLaaS).• Led the development of a product for fraud detection through e-communication surveillance that based on custom NLP and Machine Learning models (Patent Pending).• Led the development of a legal compliance product that automated the extraction structured data from unstructured legal document using NLP and made the data actionable and searchable for legal teams.• Hired and mentored more than 30 team members including Data Scientists, Data Engineers and Software developers.

• Established Data Science practice in the organization focused on the development of diagnostic, predictive and prescriptive analytics through the application on Machine Learning, hiring and mentoring a team of 10 Data Scientists.• Led the development of a fraud detection system that utilized Machine Learning and statistical analysis to detect and eliminate fraud in the exchange network through behavioral analysis of publishers and advertisers.• Re-architected PulsePoint real-time contextualization technology for higher availability, accuracy and maintainability, processing more than 4 billion transactions a day in an ad-exchange environment.• Boosted accuracy of NLP classification models by 20% adding up to 6 different languages and added capabilities such as Sentiment Analysis, Named Entity Extraction, Text Chunking.• Led the development of the Audience measurement and segmentation platform including improved audience segmentation models, data provider integrations, data warehouse design and reporting dashboards.• Created a model for sponsored content distribution optimization that increased user engagement by 40% across digital channels.• Provided executive insights that guided corporate strategy through ad-hoc data analysis andvisualizations.

• Improved relevancy of search results by 40% (as measured by user click behavior) by combining techniques such as NLP classifiers, Indexing, Named Entity Recognition, etc. while maintaining the low latency of the server response.• Developed a commercial intent classifier of costumers with different Data Mining and Probabilistic Analysis techniques to maximize search related revenues.

• Designed and developed an automated keyword recommendation tool for Search Engine Marketing Campaign based on LDA topic modeling.• Developed optimized and scalable back-end code with low latency and efficient memory requirements, mainly in Java in a distributed service oriented architecture.

• Designed and developed software and hardware for complex automation systems that combined Machine Vision and Machine Learning techniques for real time industrial and life sciencesapplications.• Led, supervised and managed all the Computer Vision projects in the organization establishing new technologies and management practices that led to a 40% increase in sales.

• Optimization of Support Vector Machine algorithms for prostate tumor localization using multispectral MRI• Development of Machine Learning algorithm for a non-invasive prostate cancer detection and localization using MRI image processing.

Development of a low cost driver’s drowsiness detection prototype with Computer Vision techniques in Matlab

Deployment of the 2G and 3G network of France Telecom Spain. Radio-Link design. Accounting management and technician teams coordination. Creation of a database. Network trouble report supervision and parameter modification of the Mobile Stations for network optimization.