Explainable AI: Object Recognition With Help From Background
Raza Hashmi, Qiang Li. (2022). "Object Recognition With Help From Background." ICLR CSS Workshop.(1)
Founder, Product Leader & ML Researcher with 8+ years of experience bridging research concepts with scalable software products. Currently building Archeode, an AI product-intelligence platform. Expert in turning ambiguous problems into shipped systems—specializing in uncertainty estimation, privacy algorithms, and incentive-aligned metrics. Proven track record of leading product vision, managing engineering teams, and publishing research.
Building a product-intelligence platform that preserves the “why” behind product decisions.
Leading SHAPE’s vision to become a science-backed intelligence platform for organizational health.
Founding member developing a global framework to measure organizational flourishing.
Architecting the technical foundation for privacy and scale.
Moving beyond averages to nuanced analytics.
Laying the groundwork for the platform.
Investigating interpretability and performance (Supervisor: Dr. Asim Karim).
Raza Hashmi, Qiang Li. (2022). "Object Recognition With Help From Background." ICLR CSS Workshop.(1)
A fuller showcase—ML experiments, behavioral simulation, and product work—lives on the Projects page.
Experiments and ideas that didn't pan out—and the lessons they left behind.
Failed ideas at Pakistan, Lahore