University of Buenos Aires

Graduate in Electronics Engineering

• ”Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features”, Graduate Thesis, 2019. University of Buenos Aires. Grade 100/100.
• GPA: 3.5/4.0

Lead Machine Learning Engineer

• Designed, architected, and maintained a mission-critical real-time Automatic Speech Recognition (ASR) service, developed in C++14, enabling seamless speech-to-text conversion.
• Integrated Large Language Models (LLMs) into the redaction service, significantly improving accuracy while adhering to service-level agreements (SLAs) and objectives (SLOs).
• Led the strategic implementation of NVIDIA's Triton Inference Server across the organization, optimizing machine learning inference performance and scalability.

Teaching Assistant

• Lecture undergraduate students in AI engineering on the principles of ”Computational Thinking,” with a focus on practical application using Python.
• Offer comprehensive support to first‐year students throughout their studies, helping them navigate the faculty and achieve their academic goals.

Research Engineer

• Led the UAV landing landing project and developed algorithms that enabled safe and precise landing on platforms through computer vision techinques. Implemented object tracking, motion estimation, and control algorithms for autonomous landing using C++, ROS, Gazebo, and OpenCV
• Designed and facilitated a deep learning workshop tailored for high school students, introducing them to foundational concepts and fostering an early interest in this cutting-edge field.
• Involved in a self-driving car project aiming to achieve autonomous driving in Argentina.

Senior Software Engineer

• Successfully migrated a core database from Oracle to PostgreSQL, ensuring minimal disruption to business operations.
• Designed and implemented high-end, robust, and fault-tolerant software responsible for designing NGS panels and conducting cancer analyses on the cloud using frameworks such as Spring.
• Redesigned the pricing service, which could now recommend the most suitable materials to be used with NGS panels, resulting in more accurate and efficient cost estimation.
• Led the initiative to develop a tool capable of testing bioinformatic pipeline integration on the cloud, significantly reducing the risk of erroneous cancer analyses and improving overall data quality.
• Optimized testing suites run-time from days to minutes, allowing for faster and more efficient testing of software components.
• Built fully automated CI/CD pipelines on Jenkins for both instance-base and containerized applications, enabling efficient deployment of software updates.
• Participated in the technical hiring process of the team, contributing to the recruitment and selection of highly skilled professionals.

Software Engineer

• Played a key role in developing an SDN controller responsible for provisioning various services (Internet, L3VPN, L2VPN, VPLS) in the backbone for over 1000 customers.
• Designed and developed a custom IP Address Manager application for internal use, enabling the engineering team to effectively allocate both public and private IPv4/IPv6 addresses for customers.
• Led the design and implementation of the SDN controller's front end using JavaScript ES6, React, and Redux, resulting in a user-friendly and efficient interface for managing network services.
• Managed the configuration and environment for workloads across public and private clouds, including AWS and VMware vSphere / NSX-V, ensuring high availability and optimal performance.

Electronics Technician

• Designed circuit boards used in a range of meteorological measurement devices, contributing to the accurate and reliable collection of weather data.
• Successfully installed over 20 meteorological weather stations across the entire country, ensuring comprehensive coverage of weather patterns and phenomena.

Teaching Assistant

• Served as a teaching assistant for high school students, providing support in mathematics and physics subjects.