David Maranto Email & Phone Number
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David Maranto is listed as Systems Engineer I - Mechanical and Fluid (Neutron) at Rocket Lab, a with 1873 employees, based in Toronto, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for David Maranto.
David Maranto previously worked as MTS - Systems at Mda Space and Chief Systems Engineer at University Of Toronto Aerospace Team. David Maranto holds Bachelor Of Applied Science In Engineering Science, Aerospace Engineering from University Of Toronto.
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About David Maranto
Outgoing self-starter with a pioneering spirit. Driven to make a meaningful impact in humanity’s pursuit of new horizons through technological innovation and engineering. Play the game of life as a team player and leader. Train and live under the five tenets of Taekwondo: etiquette, modesty, perseverance, self-control, and indomitable spirit. Future Martian explorer and engineer.
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David Maranto work experience
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Mts - Systems
Systems Engineer on the GERS (Gateway External Robotics System, Canadarm3) ground segment team and AI R&D division for the Lunar Gateway program, contributing to the design and development of the GERS mission control facility in phases B & C and testing of AI-capable flight hardware.- Spearheaded the creation of technical drawings of the mission control facility using Siemens NX, negotiating requirements across systems, mission operations, and building teams- Developed and executed radiation test plan for new-generation SoCs for in-flight AI workloads- Contributed to the design of the safety-critical ground network infrastructure- Improved requirements language for the mission operator console and ground network infrastructure specifications, descoping unnecessary requirements to reduce design costs
Chief Systems Engineer
Led concept development, system design, assembly, integration, testing, and project management activities for the FINCH mission: a novel 3U CubeSat designed to conduct shortwave infrared hyperspectral imaging over Western Canada. UTAT is an award-winning undergraduate student-led design team. Supported interdisciplinary design initiatives across all engineering teams composed of 15 technical leads and 50 members.- Developed 200 system-level requirements, architecture diagrams, technical budgets, and risk analyses- Defined teamwide roadmap, design milestones, and major design reviews- Led system-level trades, including spacecraft layout and umbilical design. The redesign of the spacecraft layout enhanced assembly by reducing part count and simplifying interfaces- Conducted final flight checks for the HERON spacecraft- Led structural-thermal-optical performance (STOP) analysis to verify payload requirements- Troubleshooted RF ground station issues and performed root-cause analysis- Conducted flow down of launch vehicle interface requirements managed through JAMA- Spearheaded make vs. buy trades for ADCS and RF components. Pivot to buy ADCS off-the-shelf resulted in an anticipated 3-year reduction in the mission development timeline- Conducted spacecraft-to-ground station access analyses to define data rate requirements using STK- Challenged hard requirements like autonomy levels, yielding a simpler design while meeting the scientific requirements- Created preliminary design of PCB test harness for functional testing of flatsat using Altium- Collaborated in the design of integration test plans using an ADCS testbed built in-house- Fostered technical leadership through mentorship and delivery of workshops on design for space systems, requirements engineering, AIT, flight/launch environments, and project management
Payload Optics Lead
Led a team of 10 members in the design of a novel grism-based shortwave infrared hyperspectral imaging CubeSat payload: the FINCH Eye.- Derived payload requirements from system and scientific requirements- Employed conceptual design methodologies like functional decomposition and morphological analysis to design the first iteration of the payload- Simulated and validated designs against requirements using the optical design engine CODE V- Developed a parametric design software tool, Architect, using object-oriented design patterns in Python, to assist the team in conducting sensitivity, trade-off, and feasibility analyses- Conducted component selection and manufacturer outreach- Created CAD models of the payload using Fusion 360- Designed and built an optical test bench to validate the payload design- Engaged in design reviews and prepared technical presentations- Collaborated with mechanical and thermal system leads to ensure interface requirements were met- Developed payload environmental verification test plans for vibration and TVAC testing campaigns- Advocated for the migration of our product lifecycle management software from Confluence to Notion and developed an Agile-like project management paradigm. These changes have yielded significant improvements to artifact traceability, teammate accountability, documentation, and requirements management, and have boosted team productivity- Fostered a team culture of empowerment by investing in the personal development of teammates
Payload Electronics Member
- Implemented state-of-the-art neural network-based hyperspectral image compression algorithm using TensorFlow to reduce satellite downlink bandwidth requirements. Employed Bayesian hyperparameter optimization algorithms to maximize network performance. Developed C implementation of the algorithm to run on STM32 microcontroller flight hardware- Conducted PCB design for payload instrumentation using Altium. Conducted component selection, validation, and debugging- Defined STM32 MCU storage interface using SDMMC and SPI communication protocols
Payload Optics Member
Conducted optical design using CODE V, researched pushbroom and snapshot hyperspectral imaging methods. Developed pass strategy simulation tools in MATLAB to estimate critical mission parameters.
Payload Science Member
Conducted mission scoping for urban head island effect and anthropogenic gas emission, feasibility and tradeoff analyses, advisor outreach, research.
Remote Sensing Mission Concept Team Member
Collaborated with team members to develop a hyperspectral Cubesat mission concept. Devised mission requirements and objectives. Performed extensive research on satellite imaging, hyperspectral camera design and construction. Prepared technical presentations Proposed concept was selected for the FINCH mission.
Software Engineer
Full-stack developer on MDA's mission control center software application for the Gateway External Robotic System (GERS, Canadarm3) program within a fast-paced SAFe Agile Scrum team of 8 engineers. - Conducted full-stack development of the command and telemetry communication pipeline between ground and flight software using a microservice architecture leveraging NASA's Core Flight Software- Derived software architecture requirements from product owner requirements. Work was captured in a software requirement specification- Developed a backend application using the Microsoft C# .NET framework to handle safety-critical command and telemetry data between the mission control center and the Gateway External Robotic System- Migrated backend from a monolithic to microservice architecture to achieve availability and redundancy requirements- Collaborated in the architectural design of a Project Data Model application, unifying the messaging paradigm between the frontend, backend, and flight applications- Refactored the backend codebase from a builder pattern to dependency injection for module creation using the Microsoft Dependency Injection library. The refactor ushered faster development and testing of components- Conducted a tradeoff study in the selection of an appropriate unit testing and end-to-end testing framework for Angular- Spearheaded the creation and exploration of a component-driven design for our web technologies stack using the React and Angular frameworks- Proposed and implemented C# generics in messaging classes, enhancing message-handling infrastructure reusability- Developed acceptance test cases according to Acceptance Test-Driven Development (ATDD)- Developed a C# wrapper to interoperate with an AI-based autonomous planning engine- Automated documentation generation with Python for continuous integration, meeting Canadian Space Agency standards- Engaged in Agile project management using Atlassian tools (JIRA, Confluence)
Ai Software Engineer
Startup working on delivering consumer non-invasive neuromodulation devices.- Developed a machine-learning pipeline to classify brain activity using surface electrodes- Prototyped neuromodulation pulses using Arduino
Martial Arts Instructor
Taught Taekwondo in an engaging environment for kids ages 4-17.- Devised class logistics and approaches to dealing with students of different learning styles and levels of discipline- Earned 3rd Dan Black Belt
Ai Consultant
Conducted research on the DeepFaceLab engine for the creation of synthetic media, enabling further research on the recognition and detection of unethical synthetic media using artificial intelligence. Logged experiments and detailed results in technical documents.
David Maranto education
Bachelor Of Applied Science In Engineering Science, Aerospace Engineering
International Baccalaureate
Frequently asked questions about David Maranto
Quick answers generated from the profile data available on this page.
What company does David Maranto work for?
David Maranto works for Rocket Lab.
What is David Maranto's role at Rocket Lab?
David Maranto is listed as Systems Engineer I - Mechanical and Fluid (Neutron) at Rocket Lab.
Where is David Maranto based?
David Maranto is based in Toronto, Ontario, Canada while working with Rocket Lab.
What companies has David Maranto worked for?
David Maranto has worked for Rocket Lab, Mda Space, University Of Toronto Aerospace Team, Mda, and U: The Brain Company.
How can I contact David Maranto?
You can use AeroLeads to view verified contact signals for David Maranto at Rocket Lab, including work email, phone, and LinkedIn data when available.
What schools did David Maranto attend?
David Maranto holds Bachelor Of Applied Science In Engineering Science, Aerospace Engineering from University Of Toronto.
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