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Software Engineer with 2+ years in AI/ML & Embedded Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly skilled Software Engineer with 2.2 years of experience specializing in AI/ML, data pipelines, and embedded systems. Proven ability to design, develop, and deploy scalable software solutions using Python, C++, and modern web technologies. Experienced in leveraging Large Language Models (LLMs) and prompt engineering to automate complex engineering workflows and improve system efficiencies across diverse domains, including aerospace and robotics. Possesses a strong foundation in data processing, system integration, and frontend development.
Florida State University
B.S. · Computer Engineering
August 1, 2020 – June 30, 2024
L3Harris Technologies
Associate Software Engineer
June 1, 2024 – Present
Palm Bay, Florida, United States
Lockheed Martin
Embedded Systems Software Engineer Intern
June 1, 2023 – August 1, 2023
Bothell, Washington, United States
checkd - Social Fashion/Outfit Logging Platform
April 1, 2026 – June 1, 2026
Cofounded and shipped checkd, a mobile-first social outfit logging app, and led frontend development across authentication, outfit upload, feed, vault, profile, search, boards, and story-card sharing. Designed and implemented a typed frontend API client, auth/session management, token refresh flow, and route protection to connect the app cleanly to a live backend. Developed the app's core outfit logging workflow as a multi-step upload experience with structured metadata capture, validation, backend submission, and end-to-end verification across uploads, media delivery, and archive/social surfaces.
L3Harris Engineering e3 Award
L3Harris Technologies
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from embedded systems to AI/ML and frontend development, suggests adaptability and a broad interest in technology. Their involvement in co-founding a startup and receiving an award for contributions leveraging AI/ML indicates initiative and a drive for innovation. This breadth of experience and proactive approach aligns well with a dynamic and growth-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their work on AI assistants and data pipelines. Their experience in leading a multidisciplinary robotics team and delivering technical demonstrations suggests good teamwork and communication abilities. The ability to migrate AI models to virtual environments and develop automation scripts indicates a focus on operational efficiency and reducing dependencies.