Jared Kick.

At 3dB Labs my primary role was to expand and fix issues on the company’s Sceptre program, which was shipped with the company’s Monarch systems.

• Enhanced the company’s Sceptre program, written in C++20/Qt, by adding features to improve the GUI’s intuitiveness, usability, and functionality.
• Extended functionality of the Sceptre webapp by adding REST API and webhook endpoints for pulling and manipulating packet data.
• Redesigned and implemented more functional and intuitive interface options by creating custom Qt widgets.
• Resolved many different bugs in response to user feedback, ensuring a smoother and more reliable user experience.
• Collaborated with team members to plan and implement bug fixes using Jira and GitLab with 3-week sprints.

At Etegent Technologies, I wrote and re-designed multiple disparate Python scripts and pipelines to process and organize large amounts of data for use in machine learning.

• Redesigned a complex and convoluted Python image-processing pipeline from the ground up to pre-process and rectify imagery for machine learning model training and use.
• Reorganized and cleaned up multiple Git repositories to avoid large binary files and cached files for better tracking and versioning.
• Created a multiprocessed command line program in Python to replace multiple separate scripts for manipulating and annotating images, making it easier to use and twelve times faster.
• The command line program automatically pulls and processes images from a networked filesystem and metadata from a PostgreSQL database.
• Extended and fixed bugs in the company’s PyTorch test harness for testing model accuracy.
• Debugged and enhanced a TypeScript (Angular) and C# web app for geographical data management, including expanding the REST API.

At KBR I worked on creating a replacement for GNURadio that would leverage FPGAs onboard software defined radios to improve performance.

• Developed RF transceiving applications in OpenCPI for ADS-B, Zigbee, and other protocols.
• Wrote components in C++17 to implement signal processing algorithms on fixed point data streams.
• Wrote corresponding components in VHDL to operate identically to the software components but on an FPGA.
• Created and tested a Python library to mimic fixed point math as it would be done in hardware for unit testing of the aforementioned components.
• Created a Python library to format and read/write the data to/from binary files for unit testing.
• Built networking components enabling data and command exchange between distributed instances via TCP, UDP, and ZeroMQ sockets.
• Implemented a GitLab CI/CD pipeline to automate building and testing of C++ and VHDL components, utilizing CentOS VMs and Docker for continuous integration on the projects, greatly speeding up the development process.
• Served as acting team manager to oversee application design and verification, as well as maintaining the Git repositories by reviewing changes and fulfilling merge requests.