• Engineered AI-driven conversation tools to enhance pharmaceutical sales teams' training and development.
• Developed intelligent systems to guide and mentor sales representatives throughout their journey, from recruitment to relationship-building with doctors.
• Implemented advanced machine learning models to enable accurate and timely practice of medication knowledge by sales representatives.
• Contributed to the development of a platform that supports pharmaceutical sales teams in practicing and perfecting their interactions with healthcare professionals.
• Collaborated with cross-functional teams to create AI solutions that empower sales representatives in the pharmaceutical industry.

• A company of machine learning engineers and data scientists is currently developing a SaaS platform for data annotation using active learning to improve annotators’ work by allowing users to focus on the most relevant data first.
• Implemented an open-source project called LangFlow, which provides a no-code interface for creating chatbots; within just three weeks of its release, the project received over 3000 stars on GitHub.
• Developed an autoML feature to automate the process of training, fine-tuning, and deploying machine learning models, reducing 100% of the workload.
• Engineered an open-source Time Series Library, built on top of Pandas, to streamline data processing and data splitting for use in ML algorithms, resulting in a 90% reduction in time needed.
• Project with Link Chain- https://github.com/logspace-ai/langflow
• Project based on GPT Models- https://github.com/ibiscp/LLM-IMDB

• A SaaS platform to bridge the gap between business and data teams, improving the work of discovering features, testing hypothesis, and training models with the goal of improving model performances by at least 10%.
• Studied and constructed a Graph Neural Network model pipeline to represent the client’s data relations, resulting in a 15-20% improvement in performance in client’s models.
• Mediated meetings with five major international banks with more than $1 billion in revenue and the development team to ensure the correct communication and address the requirements and concerns of clients.
• Prepared proof-of-concept projects with major Brazilian and international companies, including the biggest stock exchange in South America, showing how the platform could drastically reduce work time and improve data understanding.
• Processed 3 million data points monthly, onboarding clients’ data to the platform, and testing hypothesis.

• Italian company specializing in physical security systems; the task aimed at the development of a product by making decisions and acting autonomously without the need for the internet, reducing 100% of the downtime during robberies.
• Designed the system architecture using microservices concepts with Docker, dividing the system into 4 main parts: the front-end, database, rule processing, and back-end; the main back-end engineer-built functions and APIs consumed by the front-end using Flask API and Django, which were deployed in 3 instances for proof of concept.
• Implemented algorithms for automatically prioritizing, checking, and processing user-defined static rules to improve the system’s decision-making capabilities, achieving the goal of processing and correlating 100 events per second.

• Global engineering and technology consulting company that provides services to clients in the aerospace, automotive, energy, and railway industries, providing a wide range of services for IoT solutions and industry 4.0.
• Attended 1 month of training, learning about consulting and technical skills and developing innovation projects focused on the company’s clients and sectors.
• Engineered two small prototypes applying blockchain principles and public/private key signatures using Python and C++.
• Created a smart contract prototype specifically designed for big contract arbitration (1 million plus) using Solidity, with the goal of reducing costs in case the parties open any dispute.

• Laboratory at Sapienza University of Rome dedicated to the research of artificial intelligence and robotics, with a history of participation in more than 20 competitions editions of RoboCup.
• Implemented a deep learning algorithm for data augmentation using generative adversarial networks for crop and weed segmentation, improving the results in a classification task by 14.97% when compared to using only the original data set.

• Maksen is a global consulting firm subsidiary of Deloitte Portugal and specializes in providing strategic, operational, information systems, and network engineering consulting services in four divisions (consulting, technology, engineering, and outsourcing).
• Created billing process software for a client, which enabled the correct charge for infrastructure resource sharing and reduced manual calculation errors by 5%.
• Developed an Android application for quality certification of telecommunication network installations, resulting in a reduction in approval time from 1 week to a few hours.
• Mediated meetings with one of the major Brazilian telecommunication companies and the development team to ensure the correct communication of client requirements to the development team for implementing specific functionalities.
• Managed five legacy systems integration projects, coordinating meetings between system owners, architects, the software factory, and the testing team to ensure successful project delivery.

• Developed a control strategy for the electric power management of a dual 12-volt automotive battery system using Matlab and Simulink integrated with a dSpace MicroAutoBox unit.

Skills: Data Analysis.

• Developed meeting management software used to invite people, set the agenda, send the invitation by e-mail, save the final report in a pdf file, and schedule appointments in Google, Yahoo, and Live calendar.
• Developed software used to identify the company's technical and financial losses and help to correct them, based on the PDCA cycle.

• Developed software for numerical reconstruction of interferometric holograms in order to obtain a three-dimensional image of the microscopic analyzed cells using Matlab with a user interface.

• Developed a wireless data acquisition system prototype for human vital sign detection using an Arduino integrated with Windows software in C#.
• Developed an Android application to measure patients' reaction time in order to study the effect of some drugs on the human body.

• A nonprofit organization, entirely managed by undergraduate students, develops and manages technical projects in the control and automation engineering field for institutions and small-sized enterprises.
• Developed software in C# for a farm's grain production management, considering transportation, costs, revenue, and generating management reports.
• Participated on project teams, managed projects, and restructured contracts.
• Participated in the marketing team, working on promoting the company and prospecting potential customers.

• Academic team, composed of undergraduate students from several engineering fields to design and build electric and combustion vehicles with the highest energy consumption efficiency.
• Participated in building the electric and combustion vehicle prototypes.