Abhigyan Khaund on the Systems Engineering Behind AI Applications

This story was originally published on HackerNoon at: https://hackernoon.com/abhigyan-khaund-on-the-systems-engineering-behind-ai-applications . Abhigyan Khaund builds AI infrastructure that scales—powering fraud detection, real-time apps, and resilient systems that keep AI reliable under pressure. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning . You can also check exclusive content about #ai-systems-engineering , #abhigyan-khaund , #backend-infrastructure-ai , #real-time-fraud-detection , #scalable-ai-applications , #microsoft-meta-engineer , #palantir-software-engineer , #good-company , and more. This story was written by: @jonstojanjournalist . Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com . Abhigyan Khaund, a systems engineer at Palantir and former Microsoft/Meta contributor, builds the backend infrastructure that keeps AI systems fast, reliable, and scalable. From latency fixes to fraud detection, his work ensures AI applications work in real-world, high-stakes conditions—where reliability matters as much as intelligence.