Mechatronics Engineer with over 9 years of experience specializing in Artificial Intelligence, Machine Learning, and Intelligent Systems. Extensive expertise in developing end-to-end AI solutions, from data ingestion and processing (ETL pipelines) to model training, fine-tuning, and deployment. Proven track record in predictive analytics, natural language processing (NLP), and Large Language Model (LLM) fine-tuning. Skilled in Python (Pandas, NumPy, TensorFlow, PyTorch), SQL, and data pipeline optimization. Strong background in web development using Angular, Firebase, and TypeScript, with experience in integrating AI-driven features into production environments. Additionally, I have designed semantic search engines, implemented jurisprudential AI-powered search tools, and developed secure systems for handling sensitive information in judicial documents.
• Developed data pipelines to collect and process data from production plants, product coders, and pallet tracking systems, preparing datasets for future predictive models.
• Implemented AI-powered sales agents, utilizing Rasa for intent recognition in chatbots and fine-tuning OpenAI models to create more advanced conversational agents.
• Designed and maintained scalable ETL processes, ensuring efficient data ingestion, transformation, and storage for machine learning applications.
• Applied Natural Language Processing (NLP) techniques, combining Rasa and OpenAI fine-tuned models to improve chatbot interactions and user experience.
• Collaborated with cross-functional teams to integrate AI-driven solutions into business workflows and optimize customer interactions.
• Collaborated on the refactoring of data pipelines and reporting systems for global product and warehouse prediction models at Johnson & Johnson.
• Focused on optimizing ETL processes, automating Excel report generation, and streamlining model
execution within Xpress Insight.
• Helped improve data flow efficiency and ensured seamless integration between data ingestion, transformation, and reporting components.
• Contributed to the optimization of the execution framework for running predictive models, enhancing operational reliability and performance.
• Worked with cross-functional teams to standardize and improve data processing workflows.
• Developed and fine-tuned open-source Large Language Models (LLMs) using TensorFlow and PyTorch, applying advanced NLP techniques to enhance AI solutions.
• Worked on a semantic search engine based on machine learning models, improving the accuracy and relevance of search results.
• Implemented techniques for hiding sensitive information in judicial documents to protect the privacy of minors.
• Collaborated with data scientists, software developers, and product teams to integrate AI models into existing platforms and contribute to new product features.
• Trained, validated, and fine-tuned AI models, particularly in LLMs and Natural Language Processing (NLP) for personalized use cases.
• Managed domain name registration renewals and enhanced websites and applications through the development of robust databases.
• As part of a software development team, we used Angular and WordPress to design and construct portals for the Constitutional Court of Ecuador. Our focus was on creating a user-friendly interface and a professional look that was consistent with the Court's brand.
• Developed custom plugins in Python to facilitate data migration and cleaning, and to provide advanced features like search options and user management.
• Implemented unit testing to ensure code quality and correct functionality of the portal components.
• Used mathematical theories and statistical techniques to address complex engineering and scientific problems. Shared findings from these analyses both orally and in writing.
• Programmed new features and functionality to enhance and adapt analyses.
• Manipulated and analyzed large and complex data sets using Python, TensorFlow, and other relevant data analysis techniques.
• Verified the accuracy of predictive models through rigorous testing and validation.
• Visualized data trends and results using various graphing and charting techniques.
• Collaborated positively with peers and staff members to maintain a friendly, supportive, and cooperative work atmosphere.
• Listened to and fulfilled customer requests and specifications. Documented, researched, and resolved customer service issues.
• Troubleshot and resolved customer-reported issues in applications.
• Collaborated with various teams and stakeholders to create and maintain digital experiences for multiple company products.
• Designed, implemented, and tested software solutions, integrating with both internal and external services.
• Contributed to digital technology projects from concept to implementation.
• Evaluated and adopted new technologies, frameworks, and libraries to support high-level products.
• Assisted with the maintenance and upkeep of front-end applications.
• Estimated project scope, and actively participated in design discussions and code reviews.
• Developed and deployed successful e-commerce strategies into clients' websites.
• Adapted websites to meet evolving user preferences and client demands with regular updates
• Supported, maintained, and enhanced software functionality, documenting all procedures and improvements.
• Learned new technologies and adopted new tools swiftly to maximize performance and contributions.
• Adapted existing software to meet new requirements, improving performance, and incorporating new features.
• Developed cross-platform applications using Angular for the front-end and Firebase or Strapi for the back-end. Gained experience in creating mobile and web applications that operate on different operating systems such as iOS and Android.
• Utilized Angular to build interactive and efficient user interfaces, while using Firebase or Strapi as the backend platform for data management and real-time functionality implementation.
• Focused on creating fast, secure, and scalable applications that deliver an exceptional user experience across various devices and platforms.