Shubhankar Kahali
RSS FeedAs 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 
, 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 
- an AI-powered platform for smart job matching and job market research for candidates.
Featured
The Hidden Career Advantage No One Talks About
Published: at 09:07 AMWhy the most uncompetitive career paths are the ones that require emotional discomfort, and how embracing the difficult feelings everyone else avoids can be your greatest competitive advantage.
Data's Journey to Wisdom
Published: at 11:00 AMA deep dive into how raw data transforms into actionable wisdom, and why understanding this journey is crucial for both individuals and organizations in our data-driven world.
Making AI Think Faster Without Getting Sloppy
Published: at 07:42 PMA deep dive into how we slashed AI response times using Chain-of-Thought prompting and few-shot learning, with real implementation examples and practical insights from the trenches.
Vectorizing Machine Learning Models
Published: at 10:17 PMExploring how I tackled computational graph optimization through vectorization, turning inefficient scalar operations into high-performance vector computations.
Recent Posts
Why AI Fails at Design
Published: at 01:15 AMExploring the fundamental disconnect between AI's rule-following capabilities and the intuitive, human nature of design thinking.
The Rise and Fall of Vector Databases
Published: at 10:00 PMA deep dive into how vector databases evolved from a promising new category to just another feature in our technical toolkit, and the valuable lessons learned along the way.
Gaming's Role in Software Evolution
Published: at 10:48 PMFrom pixelated dreams to virtual reality - how video games secretly shaped the future of technology.
Digital Literacy as a Human Right
Published: at 09:59 PMExamining why digital literacy should be recognized as a fundamental human right in our increasingly connected world, addressing the digital divide, and exploring its impact on social equality, economic opportunity, and democratic participation.