2023 — NowBoston DynamicsSenior Software Engineer

2023 — Now

Waltham, Massachusetts, United States

Developing autonomous behaviors for Stretch

2022 — 2022IBMAI Engineer

2022 — 2022

Cambridge, Massachusetts, United States

Designed and implemented software library for https://arxiv.org/abs/2203.08031

(Data-Efficient Graph Grammar Learning for Molecular Generation), streamlining

the use of the research for a client chemical company

Improved workflow, scalability, and efficiency of former code by redesigning its

architecture, creating abstractions, and building new features

Ultimately delivered succinct Python package meeting client requirements and

generalizing code to propel future research in new domains

2020 — 2020The Aerospace CorporationRobotics Engineer

2020 — 2020

El Segundo, California, United States

Spearheaded introduction of reinforcement learning techniques for satellite docking, developing reward function to control the rendezvous of TurtleBots in simulated orbits using AWS and Lambda

Integrated 1500+ lines of self-developed code into satellite battery testing software, decommissioning legacy GUI to improve the testing experience for 30-person Battery Evaluation Lab

Led 6-person satellite R&D team in delivering equipment and power requirement blueprint for GNC (Guidance, Navigation, and Control) subsystem, creating concept for interstellar object interception

2020 — 2020Liceo Scientifico Statale Enrico FermiPhysics Instructor

2020 — 2020

Padua, Veneto, Italy

Prepared and delivered a three-week long course on Electricity and Magnetism to five different classes of high school students in Padua, Italy (~125 students total)

Led a total of twenty, one-hour sessions per week and created both in-class problems and a final examination

2019 — 2019Technical University of MadridMachine Learning Researcher

2019 — 2019

Madrid, Community of Madrid, Spain

Designed and executed study to determine optimal input image quantity needed for YOLO V3 models, establishing the lab’s performance benchmarks for drone computer vision pipeline

Programmed a 1000+ line Python API to automate training experiments of above project and ensure robustness of design choices, validating the feasibility of the study and its ability to generalize to more objects

Education

Massachusetts Institute of Technology

Master of Engineering - MEng

Massachusetts Institute of Technology

Bachelor of Science - BS

Cypress Bay High School

Experience+

Education

Master of Engineering - MEng

Bachelor of Science - BS