Led the development of an AI-based Manage Chatbot Data with CMS, driven by data collection and transformation using scraping tools, employing RAG and LLMs techniques. Actively participated in all stages of the product lifecycle, from requirement gathering to production. Contributed to the software architecture design, executed its implementation, and oversaw deployment.• Enhanced data vectorization (embeddings) processes, improving results and reducing costs by up to 5 times.• Development of a data collection system, based on scraping data from various sources to be manipulated, transformed, and stored every 24 hours, to be accessed by medical and legal platforms for consultation.• Reviewed and revamped of legacy code, streamlining maintenance efforts and boosting performance.• Creation of APIs as microservices for consuming various services across different servers.

• Support and maintenance of crawlers using Scrapy and Python, collecting over 50k medical documents from over 100 sources. Extract and classify key concepts from them to deliver to an Elasticsearch-based AI.• Optimization of crawler system to increase data collection.• Design and creation of an alert system to monitor the correct operation of the crawled system.• Server maintenance and configuration on Linux operating systems, including bug identification and providing assistance in restoring downed servers.

Supporting the work of the social network analyst, the following activities were developed:◦ Identify the most important social platforms of the legislative and presidential elections in terms of penetration, scope and evaluate the feasibility of monitoring social networking sites.◦ Design of the monitoring system of the main candidates and opinion formers for monitoring.◦ Responsibility for monitoring social networks, technical configuration, management, technical support and staff training.◦ Monitoring of possible dangerous speeches, incitement to violence, defamation or disinformation campaigns on social networks by political actors or state entities.◦ Identify any possible interference with the integrity of the electoral process through bots, trolls and other forms of orchestrated campaigns.◦ Coordination and support of the monitoring team.◦ Generation of weekly reports on the development of the observations recorded by the monitoring team.◦ Contributions to internal reports, including suggestions for improvements and methodology.◦ Management of Facebook and Twitter APIs for the analysis of advertising costs of political campaigns and the identification and segmentation of bots with quantitative and qualitative metrics.◦ Creation of scripts for the automation of data collection.