Portfolio / 2026
Washington, DC
Open to collaboration
Software engineer / AI engineer
Building systems where product thinking meets precise engineering.
Computer Science graduate from Virginia Tech's College of Engineering and a Junior Software Engineer at eve.ai. Currently pursuing an M.S. in Computer Science at the University of Tennessee with a focus in Software Engineering. Always learning and open to collaboration.
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Projects deployed
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GitHub repositories
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Years programming
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Computers built
A timeline across software engineering, AI, security operations, and the education that keeps the work moving forward.
2026 — Present
eve.ai
Working in a client-facing AI engineering role supporting eve.ai through Proven AI. Fine-tuned models, implemented retrieval-augmented generation systems, and worked with vision-language models to deliver production solutions across diverse contracts.
2025 — 2026
Proven AI
Developing and maintaining the company's software products across a variety of projects — company websites, internal tooling, and customer-facing applications.
2024 — 2025
American Systems
Performed IT security operations including incident response, security tool management, log analysis, and capability development in a dynamic enterprise environment.
2025 — 2026
University of Tennessee
Pursuing a Master of Science in Computer Science with a focus in Software Engineering, extending my knowledge and sharpening my skills in an ever-changing field.
2025
AI Makerspace
Covered the fundamentals of AI, RAG applications, and applying agentic AI across multiple use cases within a deployed application.
2021 — 2025
Virginia Polytechnic Institute
Graduated from Virginia Tech's College of Engineering with a Bachelor of Science in Computer Science, building a foundation across both software and hardware.
A private, offline AI assistant for iOS that runs language models entirely on-device through Core ML. ArcanAI requires no account, works without an internet connection, and keeps every conversation encrypted and local.
A Catholic study companion for exploring Sacred Scripture, Sacred Tradition, and the teachings of the Magisterium, using retrieval-augmented generation over the Bible to provide grounded, context-rich guidance.
A polished wedding website combining complete RSVP management with interactive cocktail recommendations and a Spotify-powered song request experience for guests.
An AI-powered platform for modeling military conflicts, examining geopolitical scenarios, and producing strategic intelligence briefings grounded in a retrieval-augmented knowledge base.
A compact ZIP archiver written in C with zlib, built from the file format upward to handle compression, local headers, central directory records, and archive finalization.
An early personal AI assistant customized on my own dataset to deliver direct, context-aware responses with rich Markdown formatting and code generation.
Have an idea? A role? A hard problem?
Prefer email?
jackson@giordano.us