Jose Luis Vieyra

Leading backend development for a large-scale digital ordering platform serving a major restaurant chain across the US and Canada.

Lead a cross-functional engineering team delivering backend services for a high-traffic, customer-facing ordering system
Architect and develop scalable backend APIs and microservices in Java and Node.js, supporting millions of ordering transactions
Manage CI/CD pipeli

Data-shuffle is a cooperative of software, data and AI professionals who join forces for free-lance projects.

Building an AI and data engineering consultancy focused on intelligent automation, LLM-powered systems, and data infrastructure for businesses.
AI Agents & Automation

Architected a fully automated Amazon affiliate store system using AI agents — handling product discovery, AI-generated ti

I worked as a software engineering consultant at Daugherty business solutions, developing software for our clients, mainly in Go-Lang and Java, Using industry lead practices and technologies such as GitHub actions, GCP, Spring-boot, and Spanner Db.

Worked with several team members across the globe, being proactive, efficient and good comunicator with the team, and the clients team.

Transforming the Point of sales systems to be data driven and take advantage of businesses data to take actions

Frutydeliveries is a digital fruit delivery company which aims to be highly technological, with several steps in the process fully automatized.
Moreover besides being a retail company is also a sandbox company for implementing and developing several solutions for businesses alike to it. Like online-ordering, packing list generation, delivery routes, automatic ordering for providers and automatic

CEO at Alertar.me, a Legal-Tech company specialized in mining information from public sources on the legal system in Panamá, providing fast alerts for lawyers and clients in a variety of legal matters. We focused on applying IA in text recognition, text mining, and machine learning for accurate search and matching. Data mining at service of the law.

I work as an NLP freelancer, doing projects related with Text mining, information extraction and modelation of information from unstructured text. Currently I'm working in a project in which information from company creation and modification by public notaries of Chile, in which the name and features of the company and partners are automatically extracted from text and presented as structured info

I work as customer insight deputy director, leading a team to build a fraud detection platform for medical insurance for Grupo Nacional Provincial (GNP), my duties include but are not limited to project management, leading and directing the team, solution proposal and architecture and dealing with between the client and the team at Gain Dynamics. Moreover I also develop a graph of entities of i

Got promoted to manager of the Data science team, taking the lead on the current projects, managing
resources and developing proposals and strategies to fulfill the company needs towards data.

Did strategic planning for Data science and prioritization according to the impact on the
company. Including interviewing resources, project propositions and high level implementation
of such solutions.

Im

I worked as an NLP (natural language processing) Data Scientist in which I worked on social network analysis and data journalism products besides NLP tasks.

Developed NLP products with machine learning. Among these are the Socialgraph for which
the content of our sites is analyzed, named entities are extracted and relations between them are
obtained through a text processing pipeline. This was do

Work on projects that required machine learning solutions specially for text analysis, project leader and Java Sr Developer.

I had under my responsibility the development of new text processing modules for a pipeline capable of taking any kind of input to extract relevant information like person names, addreses, phone numbers etc.

http://www.consistent.com.mx/

Master Erasmus Mundus on NLP.
My thesis was on recognition and analisys of temporal expressions and their impact on named entity recognition.

Same as above.

http://grupos.iingen.unam.mx/iling/es-mx/Paginas/default.aspx