Research & Innovation
Orcadebug is a highly innovative machine learning and AI researcher with a strong focus on LLM architecture, agentic systems, and custom optimization algorithms. They demonstrate exceptional ability to solve complex constraints and novel conceptual problems, prioritizing cutting-edge exploration and rapid prototyping over polished production deployment.
Score reflects GitHub profile completeness and polish rather than the developer's true algorithmic capabilities. Exceptional technical innovation in machine learning (9/10) is clearly evident despite incomplete project packaging and documentation gaps.
Profile shows deep expertise in highly advanced AI/ML topics, but the prevalence of zero-star repos, empty placeholders, and extreme 'code golf' scripts suggests this is an experimental sandbox account rather than a complete portfolio.
Prioritizes exploration over polish
My contrubition/attempt for openai comp. I added and attention residuals and turboquant
semantic knowledge graph on top of the flat filesystem, enabling agents to navigate by concepts rather than folders.
neurosymbolic architecture for solving abstract reasoning tasks (ARC-AGI)
instant metadata branching for Postgres databases
This is the browser extensions used for the chrome ( I don't have it published to chrome webstore yet)