Experience

Parallel Systems

• United States
• Railroad Equipment Manufacturing
• 1 - 100 Employee

• Senior Software Engineer

  • Sep 2022 - Present

  Developing autonomous, electric rail-freight vehicles. My responsibilities comprehend: - Responsible Engineer for brakes sub-system. This includes system modeling, control algorithm design, firmware development in Rust, system verification, validation and compliance. - Software Engineer for towing sub-system. This includes concept of operations design, firmware development, system verification, validation and compliance. Developing autonomous, electric rail-freight vehicles. My responsibilities comprehend: - Responsible Engineer for brakes sub-system. This includes system modeling, control algorithm design, firmware development in Rust, system verification, validation and compliance. - Software Engineer for towing sub-system. This includes concept of operations design, firmware development, system verification, validation and compliance.



SRC Research Scholars Program

• United States
• Research Services
• 200 - 300 Employee

• Research Scholar

  • Jan 2018 - Jun 2022

  Worked on: -Networked Control -Positioning, Navigation and Timing -Connected Environments Best Demo awards in 2018 and 2020 Annual Review Conferences. Spotlight: -Data-Driven Control Transfer for Smart Infrastructure: This demo illustrates a use-case for data-driven control algorithms. We envision a scenario in which an autonomous drone must deliver a package to a smart building. In order to limit liability, the delivery firm wants to transfer control of the drone to the building before maneuvering to land. However the company also wants to protect their drone’s technical specifications. The smart building would like to control the drone as well, for safety and privacy reasons. Our algorithm satisfies all of these requirements, allowing for the control of any drone without prior knowledge of its particular characteristics. It only requires access to the drone’s motor controller as well as position feedback which can be sourced from the building’s camera system. Show less



UCLA Henry Samueli School of Engineering and Applied Science

• United States
• Higher Education
• 300 - 400 Employee

• Graduate Researcher

  • Sep 2017 - Jun 2022

  • Researching and Developing novel Data-Driven Controllers to stabilize unknown systems without a model or stored data. • Contributed new theoretical developments in the field of Nonlinear Controls, with promising applications. • Nurtured Specialized Expertise in the field of Control Theory, with focus in Adaptive Control, Sampled Data Systems Control and Data-Driven Control. • Researching and Developing novel Data-Driven Controllers to stabilize unknown systems without a model or stored data. • Contributed new theoretical developments in the field of Nonlinear Controls, with promising applications. • Nurtured Specialized Expertise in the field of Control Theory, with focus in Adaptive Control, Sampled Data Systems Control and Data-Driven Control.



Parallel Systems

• United States
• Railroad Equipment Manufacturing
• 1 - 100 Employee

• Software Engineer Intern

  • Jun 2021 - Sep 2021

  - Designed and implemented a Slip-Ratio Controller for autonomous rail vehicles. Implementation included mechanical component design, sensor selection, transducer design, harnessing design, hydraulic system design, firmware development, and assembly and installation. - Performed dynamical analysis, simulations, and distributed control design on Platooning behavior. - Conducted dynamical analysis for bumper design specifications. - Designed and implemented a Slip-Ratio Controller for autonomous rail vehicles. Implementation included mechanical component design, sensor selection, transducer design, harnessing design, hydraulic system design, firmware development, and assembly and installation. - Performed dynamical analysis, simulations, and distributed control design on Platooning behavior. - Conducted dynamical analysis for bumper design specifications.



Instituto Tecnológico de Buenos Aires

• Argentina
• Higher Education
• 300 - 400 Employee

• Research Scholar

  • May 2016 - Jul 2017

  • Derived and Programmed a Finite Volume based CFD numerical simulation model of the dilution of lyophilized drugs in confined flows. Future applications involve the design of syringes to rapidly deploy lyophilized drugs to patients in disaster zones.• Designed and Manufactured an application specific experimental device for model tuning and validation.• Honed expertise in Computational Fluid Dynamics, Mechanical Design, Data Structure Optimization, Experimental Design, Finite Volume Methods and complex Physical Processes Modeling. Show less

• Mechanical Engineering Intern

  • May 2014 - May 2016

  • Provided Structural Engineering Consulting for INVAP, Argentina’s state owned nuclear and space technologies developer.• Performed stress, modal, and thermal analyses for elements in the ARSAT-2, SAOCOM, SARE-1B and SABIA-Mar-1 satellites by means of FEM techniques.• Performed structural verification for equipment at Atucha-1 nuclear plant under seismic loads.• Conducted a survey and compendium of all SARE 1B payload elements comprising their mechanical properties and characteristics. Combined with structural analysis this allowed for an optimum positioning of the components inside the satellite’s structure. Show less



University of Michigan

• United States
• Higher Education
• 700 & Above Employee

• Undergraduate Research Assistant

  • Nov 2015 - Jun 2017

  • Developed a non-linear ODE model describing driver dynamics in high speed frontal collision scenarios. • Worked on the Design of a smart actuated seat-belt leading to reduced severity of driver injuries. • Blended Lagrangian Mechanics, Multi-body Modeling, Finite Element Modeling and Model Predictive Control. • Developed a non-linear ODE model describing driver dynamics in high speed frontal collision scenarios. • Worked on the Design of a smart actuated seat-belt leading to reduced severity of driver injuries. • Blended Lagrangian Mechanics, Multi-body Modeling, Finite Element Modeling and Model Predictive Control.