Joshua Alletto
Lakeland
Summary
Proven innovator with experience at Argonne National Laboratory and NASA programs, adept in Python and C++, who excels in developing advanced battery technologies and electrical systems for the future of renewable energy. Demonstrated ability to enhance machine learning models for robotics, computer vision Models, and effectively managing time by automating workflow in any environment.
Overview
2
2
years of professional experience
Work History
Research Assistant
Florida Polytechnic University
10.2024 - Current
- Measured heat dissipation in innovative battery cooling system using thermocouples and infrared imaging for optimization
- Utilized oscilloscopes, multimeters, transformers and microcontroller circuits to monitor electrical performance and system stability
- Coded automated data collection algorithms and battery health monitoring in C++ and designed/simulated various environments in SolidWorks
Research Intern
Argonne National Laboratory
05.2024 - 08.2024
- Explored sodium-ion batteries for potential applications in EVs, with a focus on CO2-derived carbon and affordable cathode materials
- Employed EIS and Cyclic Voltammetry (CV) to analyze discharge and charge rates, successfully achieving a full charge time below 10 minutes
- Utilized Raman spectroscopy to identify the structural and chemical composition of the anode/cathode materials, ensuring their suitability for high-performance sodium-ion batteries
Mission Concept Lead Electrical Engineer
NASA
10.2023 - 01.2024
- Responsible for designing the electrical power system of the mission vehicle
- Developed all electrical equipment for mission vehicle such as batteries, power generation, power distribution, and how they interface with the other subsystems to ensure science objectives and success criteria are being fulfilled
Undergraduate Intern
Argonne National Laboratory
05.2023 - 09.2023
- Created an automated data mining script in Python for a supercomputer proposal system handling information from technological forefront agencies (NASA, Boeing, Harvard, MIT), saving 5 days of work for employers
- Ran parallelized hyperparameter tuning for object detection neural networks with custom datasets on the ALCF Polaris supercomputer
- Developed a machine learning model in Python and YOLO.V8 for an autonomous tool-retrieving robot, improving its efficiency and accuracy with success of over 80 objects
Education
BS - Electrical Engineering
Florida Polytechnic University
05-2026
Skills
- C, Python, MATLAB
- AutoCAD,SolidWorks
- TensorFlow,PyTorch,YOLO
- Raman, EIS, ICE Analysis
- Control systems, BMS, Circuit Analysis
- RF circuits, Signal Generators, Oscilloscopes
- PSpice, LTSpice, Altium Designer
Timeline
Research Assistant
Florida Polytechnic University
10.2024 - Current
Research Intern
Argonne National Laboratory
05.2024 - 08.2024
Mission Concept Lead Electrical Engineer
NASA
10.2023 - 01.2024
Undergraduate Intern
Argonne National Laboratory
05.2023 - 09.2023
BS - Electrical Engineering
Florida Polytechnic University
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