Aaditya Binod Yadav
Aaditya Binod Yadav is a full-stack engineer and open-source advocate based in Kathmandu, Nepal, currently pursuing Computer Engineering at Nepal College of Information and Technology. He has led production-grade platform development across SaaS, cloud infrastructure, and API systems, and is the founder of Flint Secure, a real-time fraud detection and device intelligence platform targeting Nepal's digital payment ecosystem. His technical interests span distributed systems, low-latency infrastructure, and fintech engineering
Beyond engineering, Aaditya is an active open-source tech educator having delivered workshops and talk sessions at St. Xavier's College and other institutions across Kathmandu, reaching hundreds of students across web development and systems topics. He served as a PR Associate for UbuCon Asia 2025 and GNOME Nepal, is a contributor at NOSK (Nepal Open Source Klub), was a Technical Associate at Google Developers Group Kathmandu, and leads TEDxNCIT. He came to COSCUP through his involvement in open-source communities across Asia, where he continues to teach, contribute, and build.
Beitrag
South Asia's digital payment ecosystem is growing fast but the fraud infrastructure protecting it hasn't kept up. Platforms serving millions of users often lack real-time device intelligence, have no way to detect SIM swap attacks without KYC dependency, and can't share signals across providers without exposing customer data. The threat model is also genuinely different here: attackers exploit device cycling, identity reuse across platforms, and the absence of cross-institution coordination in ways that Western fraud tooling simply isn't designed for.
This talk explores how you can address these gaps using open-source infrastructure: Go, NATS, PostgreSQL, Python and why releasing client SDKs openly matters as much as the system design itself. We'll cover phone-hash-based SIM swap detection, weighted real-time fraud scoring with cold-start constraints, device fingerprinting without invasive data collection, and the architecture of a scoring pipeline designed to run at payment speed.
These are lessons learned firsthand while building a fraud detection platform targeting Nepal's payment ecosystem the technical decisions, the dead ends, and what a working open-source approach actually looks like in practice.