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About

I’m a technology professional specializing in Tech Recruitment who transitioned into this field after completing my MBA. My technology journey began at age 15 through an interest in game modifications, which evolved into system administration and cybersecurity. This technical foundation, combined with my passion for machine learning research, led me to explore the intersection of AI and talent acquisition, providing unique insights when identifying and evaluating technical talent.

Current Focus

I founded Qonmatic, 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 developing Glide, an AI-powered platform for smart job matching and job market research. Through extensive candidate interactions, I’ve observed a significant gap in the recruitment landscape: while companies implement sophisticated Applicant Tracking Systems, candidates often lack access to critical market data, compensation insights, and resources that would empower their job search.

GitHub Contribution Graph showing consistent daily coding activity

My GitHub contribution graph reflects my consistent commitment to code development.

Professional Background

My career path in Tech Recruitment has been built on a nontraditional foundation:

Current Projects

My professional focus currently includes:

These projects reflect my commitment to advancing artificial general intelligence while creating practical applications that benefit various sectors.

Philosophy

I believe innovation emerges at the intersection of diverse disciplines. My transition from cybersecurity to Tech Recruitment has demonstrated that novel ideas often arise in unexpected contexts. This cross-pollination of ideas—similar to how Formula 1 pit crew techniques have improved hospital procedures or how bird migration patterns have influenced search algorithms—creates opportunities for breakthrough thinking.

”Things just happen to happen. They don’t happen because they’re supposed to.”

Benjamin Hoff, The Tao of Pooh

This philosophy resonates with me as I view my experiences as interconnected elements contributing to a comprehensive understanding of complex systems. I value adaptability and collaboration, combining diverse perspectives to create innovative solutions.

I’m particularly interested in emergent behavior—how complex systems exhibit patterns not immediately apparent from their individual components. By integrating diverse viewpoints, we can develop creative solutions to challenging problems.

The interconnectedness of systems provides a foundation for my approach to problem-solving. Just as ecosystems thrive through relationships, innovation flourishes when we connect seemingly unrelated concepts. Design thinking principles—empathy, ideation, and experimentation—enhance not only product development but also personal growth and community building.

In an era of increasing specialization, I value polymathic approaches that draw from multiple knowledge domains. Transformative ideas often emerge when we challenge established paradigms and explore interdisciplinary spaces.

My professional philosophy centers on possibility—viewing challenges as opportunities for growth. Whether integrating artificial intelligence with human creativity or applying natural systems to technological problems, I focus on expanding boundaries and developing innovative solutions collaboratively.