Ronald Baker Email & Phone Number

As a Software Engineer at ASRC Federal, I am responsible for enhancing critical systems and improving developer productivity with the following contributions:Used ChatGPT and artificial intelligence (AI) to design and develop small application to attempt to ease the efficiency of development for the development teams.C2 Interface Enhancement: Implemented key features and resolved complex bugs for the Aegis Combat System Command and Control (C2) interface. Focused on improving real-time data collection and connections to boost mission-critical simulation accuracy and system reliability.Productivity Tool Development: Designed and developed a sophisticated productivity tool to streamline developer workflows. This tool automates the simultaneous opening of Jira, Confluence, Bitbucket, ClearQuest, and multiple in-house applications, significantly increasing efficiency by reducing setup time and simplifying access to essential development and project management tools.System Integration and Data Processing: Enhanced the functionality of the C2 system's Data Distribution Service (DDS) messaging framework, allowing operators to construct and simulate detailed Concept of Operations (CONOPS) missions. Integrated real-time data from vessel, vehicle-specific sensors, and weapon systems to support precision mission planning.Cross-Team Collaboration: Collaborated with multiple development teams to ensure accurate integration and real-time processing of collected data. Worked to maintain system integrity, reduce data latency, and optimize the performance of the C2 interface for large-scale military simulations.My role involves leveraging advanced software development techniques and tools to enhance system functionality, improve productivity, and support complex military simulations.

As a Creative Social Media Manager, I bring a wealth of experience in crafting and implementing dynamic social media strategies across a variety of platforms, including Facebook, Twitter, Instagram, LinkedIn, and TikTok. My approach focuses on leveraging both visual and analytical tools to enhance brand presence and engagement.I excel in creating high-impact visual content using tools such as Photoshop Express and Lightroom, enabling the development of eye-catching graphics and photos that capture attention and drive interaction. In addition, my proficiency with video editing tools like CapCut allows me to produce engaging video content that resonates with audiences and amplifies brand messaging.My expertise extends into the realm of artificial intelligence and natural language processing. By employing ChatGPT and other AI technologies, I design and construct intelligent agents that automate and optimize various aspects of social media management. This includes drafting documentation, scheduling posts, and analyzing trends to make informed, content-specific decisions. These AI-driven insights enable me to stay ahead of trends and adapt strategies in real-time, ensuring that content remains relevant and impactful.I am skilled in using analytics tools to monitor performance, interpret data, and refine strategies based on key metrics. This analytical approach ensures that each campaign is not only creative but also data-driven, enhancing its effectiveness and delivering measurable results.For future clients, my comprehensive skill set translates into a multifaceted approach to social media management that integrates creativity with technology. By combining cutting-edge design tools with AI-powered insights, I am equipped to develop strategies that not only engage but also convert audiences. My ability to streamline processes through automation and data analysis means more efficient and targeted campaigns, ultimately driving greater brand visibility and growth.

At L3Harris, I played a pivotal role in advancing embedded software solutions with the following contributions:Feature Development: Developed a robust feature for an in-house Data Distribution Service (DDS) message parsing testing tool using JavaFX. This enhancement enabled the dynamic creation of customizable, multi-tabbed user interfaces, significantly improving the user experience for testing teams.XML Integration: Implemented functionalities allowing the design and integration of Extensible Markup Language (XML) files for parsing and manipulating DDS message data. This capability facilitated more efficient and flexible testing of DDS messages by allowing users to tailor XML configurations to their specific needs.Data Handling Interfaces: Created versatile interfaces for mapping unique data tagging identifiers and custom parameters to DDS messages. This streamlined data handling processes, optimized message parsing, and enhanced validation workflows, thereby increasing testing efficiency.Testing Efficiency: Enhanced testing capabilities by enabling teams to independently customize their testing environments. This improvement fostered better collaboration and adaptability across different testing scenarios, contributing to more effective and accurate DDS message validation.My role at L3Harris involved leveraging JavaFX and other technologies to deliver solutions that improve the efficiency and flexibility of embedded software testing processes, demonstrating my ability to innovate and enhance software capabilities in complex technical environments.

As a Mid-Senior Level Satellite Systems R&D Software Engineer at Sandia National Laboratories, I contributed significantly to satellite telemetry and image processing advancements. My key achievements include:Telemetry Tools: Developed a Python-based XML schema parser that auto-generated C++ code for satellite telemetry, leveraging Kaitai Struct for efficient binary data handling. This innovation reduced development time by 80%.Algorithm Modernization: Transformed legacy C algorithms into C++, enhancing a multi-stage image processing pipeline. Implemented advanced memory management and multi-threading, boosting processing throughput and reducing runtime complexity by 30%.Navigation Precision: Created self-correcting drift algorithms for space vehicle navigation using real-time IMU data and sensor fusion. Applied recursive Kalman filtering to enhance trajectory accuracy and ensure mission-critical precision.Modular API Design: Designed a telemetry ingestion API with CMake for automation and cross-platform integration. Enabled seamless updates to data models and telemetry systems, minimizing manual intervention with dynamic C++ code generation.Automated Testing: Established automated testing frameworks with GoogleTest and pytest for satellite telemetry and image processing. Supported continuous integration (CI) pipelines to ensure high algorithmic integrity and production reliability.Memory Optimization: Improved memory management and error handling in C++ with RAII and smart pointers, ensuring robust performance across high-throughput telemetry systems.Image Segmentation: Developed a multi-threaded image segmentation algorithm for HD satellite imagery, using C++11/14/17 features to accelerate image classification.Software Integration: Automated telemetry API updates to cut integration costs, removing the need for manual rewrites. Introduced scalable "living software" solutions that continue to operate in space.

At the Naval Undersea Warfare Center, I played a pivotal role in advancing underwater vehicle technology through:Real-Time Data Processing: Reverse engineered and modernized a MATLAB-based data processing application into a highly optimized C++ API using OpenCV and Eigen. This enhancement enabled real-time interpretation of Multi-ping Forward Looking Sonar data, significantly improving performance and enabling accurate target tracking on the Remus 600 AUV.Performance Optimization: Transitioned from MATLAB to C++, reducing computational overhead and processing time. This shift facilitated high-performance SLAM and sonar data processing, which enhanced system responsiveness and stability for underwater mapping and navigation.Flexible Interface Development: Created a versatile interface using Eigen, allowing Machine Learning (ML) and Artificial Intelligence (AI) engineers to integrate and test algorithms for real-time object detection and classification. The interface was thoroughly tested and documented with Doxygen, ensuring usability and clarity for future teams.Advanced Design Patterns: Applied object-oriented design patterns such as Singleton, Factory, and Abstract Factory to improve modularity and scalability for sonar data processing. This approach ensured long-term maintainability and adaptability for future upgrades.Multi-Threading and Testing: Implemented multi-threading techniques in C++ for real-time sonar data processing and object detection. Utilized GoogleTest for comprehensive unit and integration testing, ensuring robustness and reliability of algorithms under various mission conditions.Hardware Integration: Collaborated with hardware engineers to integrate software with Remus 600 AUV’s sonar, navigation, and sensor systems. Optimized the software-hardware interaction for low-latency data processing, ensuring high accuracy in dynamic underwater environments.

At the Intelligent Robot Lab, I contributed significantly to robotics research through:Real-Time Data Visualization: Employed Unity game engine to visualize real-time data from Turtlebot, utilizing ROS to bridge Unity with ROS and synchronize virtual and real-world operations.Autonomous Search Algorithm: Developed an algorithm for Turtlebot that integrated real-time SLAM using Point Cloud Data from Xbox Kinect and Turtlebot sensors, enabling accurate detection and localization of April Tags for dynamic environment navigation.Cross-Disciplinary Collaboration: Partnered with experts in Natural Language Processing, Image Processing, Machine Learning, and Artificial Intelligence to enhance robotics systems' decision-making and adaptability.Hardware and Software Integration: Worked with hardware such as MOVO, Baxter, Turtlebot, Velodyne Lidar, HTC Vive, and Xbox Kinect, bridging hardware capabilities with software needs.ROS and Unity Frameworks: Utilized ROS packages like AprilTag ROS, ROS Navigation Stack, and gmapping to boost detection and navigation precision. The Unity-ROS integration facilitated real-time updates and system efficiency.This role deepened my expertise in real-time data processing, hardware-software integration, and interdisciplinary collaboration in robotics.

My first professional role outside of academia provided a solid foundation in embedded systems and software development. As an Embedded Software Engineering Intern at ATTO Technologies, I was entrusted with critical responsibilities in software design and debugging for high-performance storage systems.Key Contributions:Dual Boot Rollback Feature: Developed and implemented a dual boot rollback mechanism to detect and handle CRC discrepancies in boot images. This feature ensured that if a newly uploaded boot image was corrupted, the system would seamlessly revert to the previously functioning image, maintaining the operational integrity of the fiber bridge.Software Development: Engaged in the full lifecycle of software development, from initial design and integration to thorough debugging and release. I worked with C/C++ on embedded platforms, contributing to robust and reliable software solutions.Technical Documentation: Contributed to the creation and review of comprehensive user and technical product documentation, enhancing clarity and usability for future development and integration.Support and Learning: Supported existing products through Agile development processes while actively learning about various technologies, including Object-Oriented Design, Real-Time Concepts, and storage protocols such as SCSI and Fibre Channel.This role marked a significant milestone in my career, bridging the gap between academic knowledge and real-world engineering challenges.

As an IT Student Worker at the University at Buffalo, I played a key role in maintaining and supporting the university's IT infrastructure, serving a community of approximately 30,000 students, faculty, and staff. My responsibilities included:Technical Support: Delivered hands-on assistance for hardware and software issues, troubleshooting problems, resolving conflicts, and offering solutions for various IT-related queries.System Maintenance: Executed routine system updates and maintenance on teaching station computers across the campus, ensuring that operating systems and software were up-to-date and fully operational.Hardware Upgrades: Managed the installation and configuration of new hardware, including computers, printers, and peripheral devices, ensuring seamless integration with existing systems.Network Management: Supported network connectivity and troubleshooting, resolving issues with Wi-Fi, wired connections, and network printers to maintain a stable and secure network infrastructure.User Training: Educated users on best practices for IT resources, including security measures and software applications, enhancing their ability to effectively use technology in an academic setting.Incident Reporting: Documented and reported IT incidents and service requests, using a ticketing system to track and follow up on issues, ensuring timely resolutions.Data Backup and Recovery: Assisted with data backup procedures and recovery efforts, maintaining data integrity and performing regular backups to safeguard against data loss.Equipment Inventory: Managed IT equipment and resource inventory, performing audits and coordinating the replacement or repair of hardware as necessary.My role involved a high level of collaboration and problem-solving, contributing to the overall efficiency and effectiveness of the university’s IT services.

Master Of Science - Ms, Computer Science, 3.8

At Brown University's Intelligent Robot Lab, I led projects integrating advanced robotics with AI. I developed a drone path-planning.

Bachelor Of Applied Science - Basc, Electrical And Electronics Engineering, 3.4

At the University at Buffalo, I combined computer science with electrical engineering to develop autonomous robot navigation and obstacle.