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Alexis' Resume





  • Solid history of effective design and development of autonomous systems.
  • Detail-oriented, innovative professional with a demonstrated record of driving the success of science and engineering projects.
  • Analytical professional skilled in developing powerful business solutions to maximize value and support growth of companies.
  • Proven expertise in spearheading all phases of project life cycle, from initiation to completion. See my references on LinkedIn.
  • Superior collaboration and leadership skills, with proven expertise in directing, motivating, and guiding cross-functional teams to peak performance in high energy, deadline driven environments.
  • Bilingual: Italian and English.
  • Italian and U.S. Citizenship.



Professional Experience



Engineer Subject Matter Expert (January 2024 – Present)

GN&C Engineer for the Orion Capsule, at Lockheed Martin Human Spaceflight facility. Furthermore, I work with the TT&V (Test and Validation) team for Orion at the Nasa Johnson Space Center (JSC).



Subject Matter Expert - Optical Navigation Capability Lead (January 2021 - December 2023)

I worked on the GN&C system for the Orion Capsule, at Lockheed Martin Human Spaceflight facility. Furthermore, I worked with the TT&V team for Orion at the Nasa Johnson Space Center (JSC). Key Achievements:

  • Machine Learning (ML) algorithms for the RedWire ARGUS camera
  • Software modules and plugins for the RedWire ACORN simulation system
  • During year 2021 I have been the Vision Navigation Lead for the Firefly Blue Ghost Lunar Lander and I have contributed to the successful completion of the first three major milestones for the Blue Ghost Lunar Lander (SRR, PDR and CDR) with NASA and Firefly representatives.
  • Recipient of the RedWire ‘At Our Core’ Award for year 2022, along with other Orion team members.



Senior Staff Engineer (May 2018 – January 2021)

Contributed in the design, development and testing of FPGA based systems, using VHDL. Carried out extensive testing (thermal, radiation, vacuum) of embedded systems. Provided support to third companies concerning the development of vision-based navigation algorithms for spacecrafts, using embedded CPU and GPU systems. Extensive use of lab equipment such as oscilloscope, logic analyzer, programmable power supplies, for testing and debugging. Jira and BitBucket administrator. Key Achievements:

  • Designed, implemented and delivered computer vision algorithms for autonomous navigation and hazard detection and avoidance for spacecrafts, tested in simulated environment. Algorithms were designed in MatLab and implemented in C/C++ and were heavily based on OpenCV.
  • Contributed in the development and testing of firmware for embedded systems based on STM32 MCU, commissioned by NASA. Software developed in C.
  • Recipient of the Deep Space Systems Excellence in Engineering Award (October 2021).



Research Scientist (April 2017 – March 2018)

Led development of the autopilot firmware for the Songbird VTOL UAV. Management of research projects in collaboration with Universities. Research in the field of autonomous navigation of UAVs and fault diagnosis. Key Achievements:

  • Designed, implemented and delivered embedded C++ software solutions consistent with the product roadmap and released plan milestones. Managed software releases using Jira and Git.
  • Organized and conducted extensive field-testing of new firmware features for autonomous navigation of UAVs.



Research Scientist (April 2015 – December 2016)

Led research and development for wide range of projects, utilizing analytical, communication, and collaboration skills to capture project success. Key Achievements:

  • Directed autonomous landing algorithms for rotary wing UAVs project, integrating vision and inertial sensor, parallel computing, and embedded CPU/GPU systems. All algorithms developed in C++.
  • Designed modular HW/SW framework for development of unmanned systems, performing development and testing of mechanical structures, sensors, communication systems, algorithms, and communication protocols to ensure success and reliability.
  • Publications and Patents List: ─



Algorithm Engineer (February 2014 – March 2015)

Led design, development, and testing of algorithms necessary in providing quality software products. Collaborated with cross-functional team members in development of new products and functions while complying with Civitanavi System’s policies and procedures. Key Achievements:

  • Developed algorithms for Attitude Heading and Reference Systems (AHRS), Inertial Navigation Systems (INS) and North Finders Systems using Kalman Filter and embedded systems. Algorithms were designed in MatLab and implemented using C and C++.



Internship (January 2011 – December 2013)

Completed European Research Project ARTEMIS Joint Undertaking R3-COP (file number: ART-010000-2010-5). Achieved project goals of overcoming fragmentation of robotic sector through creation of cross-domain platform of methods and tools for design of usable autonomous systems. Additionally, contributed to research on Pedestrian Localization using MEMS IMU and UWB. Designed and implemented Navigation Algorithms for different drone platforms using C and C++.



Education and Training


Ph.D. Degree, Automation Engineering - Polytechnic University of marche, Ancona, Italy

Thesis: “Localization and Navigation of Autonomous Systems in Complex Scenarios”


Master Degree, Automation Engineering (Summa Cum Laude) - Polytechnic University of marche, Ancona, Italy

Thesis: “Designing of a Simulation Environment for Fast Prototyping of Cooperating Avionics Systems”


Bachelor Degree, Automation and Computer Engineering - Polytechnic University of marche, Ancona, Italy

Thesis: “Designing and Development of Response Plans to Cyber Attacks"


Download here the 2 pages printable version of my resume