Andres Oliva Trevisan

-Spearheaded the development of new energy meters, involved in the entire lifecycle from concept to implementation. - Conducted thorough feasibility analyses for future product enhancements, ensuring alignment with business objectives and market demands. - Designed and implemented comprehensive unit and integration tests to validate software functionality and reliability. - Developed a custom-made software layer that enables seamless code reuse across different products, significantly reducing development time and costs.

Leaded a series of research involving the use of RF modules using LoRa technology standards in a low-power environment supporting the use of TinyML in order to allow the end devices to process the information gathered by the device sensors and make decisions to allow the increase of the device autonomy. Lately, the results of this research will be put into a GitHub repository in order to be shared with all the TinyML educational community and general public, Hosting Laboratory: Marconi Lab.

Created and developed an Animal Telemetry Device Family for remote monitoring of wild tortoises from concept to field tests. • Achieved 80% cost reduction compared to market solutions while adding unique features such as AI movement pattern detection. • Won the Seeeds Studio Into the Wild Contest for Sustainable Planet 2022 contest for Innovative and Creative Project. link: https://www.hackster.io/471203/study-of-animal-movement-equipment-design-and-development-febb17 • Published paper: Design and development of a family of integrated devices to monitor animal move- ment in the wild. link: https://www.mdpi.com/1424-8220/23/7/3684

-Played a pivotal role in the installation and maintenance of Siemens X-ray equipment, ensuring optimal performance and reliability. - Led installation projects across various regions in Argentina, providing comprehensive training and support to hospital personnel to facilitate seamless integration and operation. -Demonstrated a strong commitment to customer satisfaction by implementing initiatives that resulted in a notable improvement in installation satisfaction scores (raising from 7/10 to 8/10 the average customer satisfaction score).

-Contributed to the development of a cutting-edge Non-Invasive Cardiac Output Monitor, leveraging expertise in RF-AM analog circuit design and simulation. -Played a key role in the successful validation and safety testing of the monitoring system on human subjects, demonstrating a high level of technical proficiency and attention to detail. -Creation of User and maintenance manual. Equipment box design. -Integrated to the project ”Low Cost and high usability Portable Systems for acquisition and pro- cessing of biomedic signals” under the direction of PhD Gustavo Meschino and the PhD Isabel Passoni.

Ayudante de investigación del proyecto “Sistemas portables de bajo costo y alta usabilidad para adquisición y procesamiento de señales biomédicas” bajo la dirección del Dr. Gustavo Meschino y la Dra. Isabel Passoni. Códigos: 15/G459 ING465/16

Asignatura: Tratamiento Digital de Señales

200 hours of supervised work doing: Electric schematics updates, making of components lists, cost survey and Check list of assembly elements for all the equips fabricated by the company. Those equips are used for water treatment in medical industry (like dialysis equipment) .

Engenieering Master degree Student. Oriented to Embedded Systems and IoT Currenty working on the development of an ultra-low power & size animal tracking system capable of doing inertial measures. This measures will be used with a machine learning algorithm to identify small animals behavior (like walk, sleep, feed) based on the sensor acquisition results. Each node will be able to form and join a LoWAN in the Sub1-GHz band to communicate with a collector, allowing the possibility to upload the information into a web server.