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Shubhankar Kahali

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As a seasoned Security Researcher and Programmer who transitioned into Tech Recruitment, I bring a unique technical perspective to talent acquisition. My professional focus includes identifying technical talent, conducting malware analysis, participating in bug bounty programs, and developing AI assessment systems. I write about the intersection of talent acquisition and technology, with particular interest in cognitive architectures, transformer models, attention mechanisms, reasoning latency, chain-of-thought prompting, few-shot learning, and decision transformers.


I founded Qonmatic Logo , a US-based AI Lab, alongside top researchers from Stanford and MIT. At Qonmatic, we're building general AI systems for general applications, aerospace & defence, and cyber security through groundbreaking research in neural architectures, multi-modal learning, and emergent behaviors. Our research includes Loop C1 (Cognitive 1), an experimental model that optimizes reasoning latency and cognitive depth through advanced neural architecture, focusing on refining transformer-based attention mechanisms and exploring novel approaches to conditional probability calculations. In parallel, I'm building Glide Logo - an AI-powered platform for smart job matching and job market research for candidates.


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