Research and engineering for
reliable AI and security systems.
I’m Connor Corr. I work on AI-assisted security tools, community software, and empirical evaluation through Assera. I’m interested in what happens when a system meets real users, incomplete evidence, and unexpected behavior.
A little about me
I’m a University of Florida student with experience in AI security operations at ReliaQuest and independently led software projects. My work ranges from moderation for online communities to paid security implementation and historical evaluation of AI-driven decisions.
My AI-assisted work focuses on defining technical questions, testing system behavior, investigating failures, and deciding what the evidence supports. The case studies below explain those investigations and their results.
Work & research
ReliaQuest
Reviewing and correcting AI-generated security descriptions and telemetry analysis for accuracy and safety before they reached customer environments, alongside evidence-based investigations.
Read the case study ↗Scam Sentinel
Applied research into reliable AI moderation, community context, human feedback, and the social-engineering tactics that threaten online communities.
Read the case study ↗Securing an AI-assisted CAD platform
License enforcement, trust boundaries, and the availability tradeoffs of moving security decisions out of an editable client.
Read the case study ↗Assera
Building a financial-technology platform around market signals, AI-assisted decision support, empirical evaluation, and operational risk controls.
Read the case study ↗Assera: market-warning research
A sequence of retrospective studies on warning signals, matched controls, data availability, and the danger of tuning to famous crises.
Read the case study ↗CPD community platform
A roleplay-community portal exploring explicit identity, confirmation-staged actions, and control over automated communication.
Read the case study ↗Assera: native-client reliability
Why a browser success did not validate an iPhone client, and how raw response bytes became part of an authentication investigation.
Read the case study ↗Questions I keep returning to
Does the proposed fix address the observed failure? Is the model wrong, or is the surrounding system? Does a result survive a fair baseline? What changes when data is missing, a response arrives late, or a user supplies new context?
These questions connect my projects more closely than their product categories do. Read how I approach evidence and AI-assisted work →
Education & technical foundation
Programming and systems
Sophomore · Business Administration major · 2025–Present
Specialization in Computer and Information Science · Pursuing a minor in Information Systems
My studies include programming fundamentals and business/information-systems coursework. Fall 2026 includes Programming Fundamentals 2 (COP3503C), taught in C++. I have prior Python coursework and experience reading and working with Python in my projects.
My experience includes AI-assisted development, code comprehension, testing, and integration. I’m continuing to strengthen independent implementation fluency.
Tools I’ve worked with
Python, JavaScript/Node.js, Express, Discord.js, SQLite, FastAPI, Swift, and web interfaces. My project work includes model APIs, structured outputs, feedback-conditioned prompting, session authorization, and historical data evaluation. These are tools represented in my work and study.
Beyond the technical projects
Commerce & operations
My experience with C Squared Collective added practical context around customer needs, organizing work, and carrying projects through their operational details.
Service work
I’ve also worked in restaurant service at Ava. Working with a team under time pressure is a different environment from software development, and it remains part of my professional background.
Connect
You can find my professional profile on LinkedIn ↗.