
Ranjoth S.
AI/ML Machine Learning Engineer @ Lockheed Martin
About
With a strong foundation in Computer Science from the University of Houston, I have experience in software development, system optimization, and modernizing critical infrastructure. I began my career as a Software Engineer at the Federal Aviation Administration (FAA), where I contributed to improving long-range radar systems vital to national airspace safety. My technical background includes proficiency in Python, C++, and JavaScript, as well as hands-on experience with Linux, Docker, Windows, networking, and relational databases like MySQL. Currently, I’m at Lockheed Martin, where I contribute to the development of an internal AI tool for VS Code leveraged off Continue AI that enhances developer productivity. This involves integrating large language models (LLMs), maintaining seamless user experiences, and ensuring smooth distribution through our internal service infrastructure. My role spans both front-end and back-end development, with a focus on performance, reliability, and scalability. I’m passionate about solving complex engineering challenges, learning emerging technologies (especially in AI), and building tools that empower others to work smarter.
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United States
Computer Software
Web Technologies, PostgreSQL, Amazon Dynamodb, Kubernetes, Podman, Artificial Intelligence (AI), API Development, Portainer, Docker, Containerization, Virtualization, Linux, IP Networking, Windows, Network, Network Engineering, Amazon Web Services (AWS), AWS Lambda, AWS CloudFormation, Angular
Experience

Software Engineer
Oklahoma, United States
• Supported the FAA’s software development team in enhancing long-range radar systems. • Developed and maintained software solutions to improve radar performance and reliability. • Assisted in modernizing legacy systems by implementing containerized solutions using Docker. • Collaborated with cross-functional teams to ensure seamless integration of radar software updates.
Ranjoth S.'s Contact Information
Phone
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