I’m Abdurrahman Assegaf, a Data Science practitioner and AI researcher focused on building practical solutions with strong technical depth. I work on neuro-symbolic approaches for ARC-AGI solvers, LLM evaluation with benchmark tooling, and predictive machine learning—always aiming to make AI systems measurable, reliable, and usable in real workflows.
I’m also hands-on in software development and data-driven product building, from creating interactive dashboards (Streamlit/Laravel) to designing domain-specific DSL systems and automated testing pipelines. Alongside my research, I’ve professionally supported IT operations and taught users in a pesantren environment, so I’m comfortable bridging research-grade work with everyday reliability and clarity.
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