- Analyzed SAR, Optical, and Multispectral satellite data - mapping, geocoding, and spatial statistics - using Python and QGIS to identify patterns and trends for commercial GIS applications.- Tasked satellites with Umbra Space Canopy to obtain geospatial imagery for commercial SAR applications. - Assisted in creating visual representations of geospatial data from SAR, using analytical modeling and ML.- Facilitated the development of SAR Satellite Data analyses and auto-focusing techniques and created machine-learning applications for analyzing SAR and complex data.- Designed and engineered apparatus for internal research projects to aid in signal and geospatial image analysis research for space-based radar systems.- Verified SAR data using Planet Labs and Google Earth Optical geographic information systems imagery.- Developed algorithms to automate the download of optical geospatial imagery data for corresponding high-resolution SAR data from Mapbox.- Aligned SAR imagery with Digital Elevation Models (DEMs) from the NASA Shuttle Radar Topography Mission (SRTM) to analyze potential applications using QGIS and Blender.- Leveraged the European Space Agency’s Sentinel-2 data for potential SAR integrations.- Aided in the planning of data acquisition and strategies to mitigate the impact of satellite coverage limitations due to orbital parameters.- Used QGIS and image editing software (GIMP) to manipulate and post-process Synthetic Aperture Radar (SAR) and other satellite geospatial data to be used for annotation processes.- Annotated SAR satellite geospatial imagery data with Scale AI for Machine Learning (ML) algorithms

- Used the ANSYS software suite to perform thermal and fluid analysis of devices, and modified designs to meet client specifications, for use in environments with rigid requirements.- Aided in the design, assembly, and software development of a minimum viable product (MVP) for the United States Air Force, relating to fuel quality and assurance. - Utilized Computer Vision and Machine Learning to aid in the implementation of a particledetection system, optimized for on-edge computing for newly developed microscopy hardware for the Phase II funded US Air Force project.

● Managed and led a small group of engineers in a fast-paced startup environment while practicing Agile Software development methodologies.● Conducted SCRUM meetings with engineers, collaborated to determine the scope of work for weekly sprints for various projects and improve process efficiency for software deployment cycles.● Researched, designed, and developed software solutions for client projects. Managed and aided in the preparation of Technical Solution Documents and project documentation to meet industry standards.● Optimized python algorithms used to process geospatial (hyperdimensional tensor) data stored in AWS S3 buckets, using third-party libraries and enabling multithreading and multiprocessing to improve computation time on AWS EC2 clusters by 99.79%● Extracted, cleaned, and analyzed raw gameplay statistics using python and relevant third-party libraries for a fundamental research project. Generated Time-series plots using matplotlib and seaborn to discover and analyze significant trends in the data.● Utilized open-source computer vision and pattern recognition algorithms to train a neural network to generate dance movements for a 3D blender animation to match beats in music audio input. Worked with local and international artists to obtain creative input.● Automated the creation and scaling of computation node clusters for user-created jobs on AWS cloud-clusters using Terraform and Ray.io● Aided in the design, fabrication, and test of a launch vehicle under TRA/NAR rules. Conducted research and aided in the preliminary design of a more complex launch vehicle with a DSP-5 license granted by the Department of State.

● Developed front-end components using Typescript, JavaScript, React JS, Material UI, Dart, Flutter, and custom libraries for multiple projects to meet client design requirements critical to product development. ● Worked on established codebases on large projects (debugging, computation optimization) and aided in the development of MVP prototype software for smaller scoped projects and products.

● Analyzed large sets of data using Python and Typescript for use in understanding inefficiencies in engineering and manufacturing processes.● Utilized various libraries (Material UI, Nivo Charts) to create meaningful charts, tables, and other front-end components for the company’s prototype software user interface.

• Partially automated reading and upload of product information from various vendors to a formatted Excel file using C++. Created and managed an extensive online AirTable database of more than 3000 products.• Implemented the use of a MATLAB algorithm to automatically calculate the markup percentages to improve pricing efficiency and ensure positive profit margins greater than 20% and populate an Excel product information table. • Created 3D models and engineering drawings using SolidWorks of casings for prototyping to meet client design requirements.• Multitasking on individual and cross-functional team projects to meet tight deadlines while working under minimal budgets in startup environment

• Collected and organized contact information to aid in member recruitment• Conducted market research and developed a business plan for the organization• Participated in a community education seminar about the benefits of solar energy and existing options for individuals to switch to solar power for use in homes.

• Designed, manufactured, and assembled electrical systems for the TRRICCS system of TYPHON. Recorded and organized project subsystem processes and progress in detailed technical documentation and presented orally at design reviews• Restructured legacy satellite project CERBERUS to improve operational time by over 50% by enabling the charging of batteries and refueling of cold gas tanks for propulsion. 3D printed parts for use in the TRRICCS system.• Designed 3D models and assemblies, drafted engineering drawings, and created a Bill of Materials (BOM) using PTC Creo and created preliminary electrical wiring schematics using Fritzing for TRRICCS + CERBERUS’ final assembly.• Collaborated in a diverse and multi-disciplinary group of 10 engineers, led, managed, and organized the electrical subsystem, coordinated with faculty, industry mentors and teammates to achieve goals by rigorous internal deadlines.