Innovative software engineer with over 6 years of experience in C++ and Python development, specializing in autonomous systems, machine learning, and CI/CD optimization. I have led key projects for DARPA, SCO, and ONR, advancing autonomous naval vehicle capabilities. I am passionate about leveraging cutting-edge technologies to solve complex problems in distributed computing and AI.Key Strengths:• Scalable Software Solutions: Expertise in designing robust software solutions for autonomous vehicles and network systems.• CI/CD Optimization: Proven track record in optimizing CI/CD pipelines and build systems to enhance development efficiency.• Cross-Functional Collaboration: Effective at working with cross-functional teams and government agencies to deliver successful projects.• Adaptability: Quickly adapt to new technologies and domains, ensuring continuous improvement and innovation.Key Achievements:• Blizzard Entertainment: Designed a Python-based build framework improving cross-team productivity. Optimized Jenkins CI/CD jobs, reducing build times through workflow restructuring and parallelization. Migrated projects to CMake, enhancing build efficiency.• Huntington Ingalls, Inc: Led engineering efforts for DARPA's Sea Train and SCO's Ghost Fleet Overlord programs. Developed tools for data inspection and platform interoperability on DDS networks for autonomous naval systems. Created seamless interfaces between C++ and Python using pybind11.• Spatial Integrated Systems, Inc.: Developed advanced capabilities for ONR's USV Swarm program. Collaborated with NASA JPL engineers on autonomous vehicle behaviors. Engineered a custom build and package system using GitLab CI/CD.Currently, I am pursuing a Master of Science in Computer Science with a focus on Machine Learning at Georgia Tech. I am open to remote opportunities in software engineering and machine learning roles.Let’s connect to discuss how my skills in autonomous systems, build optimization, and machine learning can contribute to your team’s success.