Detect
Identify scam risk from messages, links, phone numbers, emails, and conversation patterns instead of relying on one isolated warning sign.
I am Ahmed Omar, a founder and builder working at the intersection of artificial intelligence, cybersecurity, and human-centered product design. My current focus is ConvoSatya, where I am building Faust to help people detect, prevent, and report digital scams.
ConvoSatya is my founder-led venture focused on AI-powered protection for digital conversations. Its core product, Faust, is designed to help users understand suspicious conversations before harm happens and organize evidence after an incident.
Identify scam risk from messages, links, phone numbers, emails, and conversation patterns instead of relying on one isolated warning sign.
Give users calm, direct guidance before they send money, share private information, or follow unsafe instructions.
Convert conversation history, suspicious artifacts, and incident details into a clear structured report for follow-up action.
I focus on systems that solve painful problems, not demos that only look good. The goal is usefulness, trust, and measurable impact.
Security tools should be understandable to non-experts. I care about making risk, evidence, and next steps clear for real people.
I use evaluation, scenario testing, and feedback loops to improve product behavior instead of relying only on intuition.
I prefer interfaces that feel focused and trustworthy: less clutter, stronger clarity, and direct user action.
My work sits at the intersection of research, engineering, and real-world problem solving. I am interested in taking ideas beyond experiments and turning them into usable systems that can support people in practical situations. Whether I am working with AI agents, scam detection, data analytics, or interactive applications, I focus on building technology that is not only technically strong but also understandable, trustworthy, and useful.
Moving from academic exploration to founder-level execution, my goal always remained the same: to identify meaningful problems, study them carefully, prototype solutions, test them with real users, and keep improving until the work becomes something people can actually rely on. I see technology as a way to reduce confusion, improve decision-making, and create safer digital experiences for individuals, organizations, and communities.
For collaboration, research discussions, product feedback, or founder conversations, reach out directly.