NeurIPS 2026 Author · Compiler & ML Systems Engineer · Independent AI Researcher

I work at the intersection of programming languages, machine learning systems, and AI research.

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I build compilers and developer tools, and conduct independent AI research. My work spans the Jac/Jaseci ecosystem, PyTorch compilation, generative AI, and AI systems evaluation.

I am an author of a paper accepted at NeurIPS 2026 on multi-LoRA composition. I also co-authored GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2.

• Multi-LoRA composition: Research on composing LoRA adapters for generative models; paper accepted at NeurIPS 2026. Paper link to follow when publicly available.
• GraphMend: Co-authored research on source transformations that address graph breaks in PyTorch 2.
• Jac and Jaseci: Compiler and language tooling contributions to the open-source Jac ecosystem.
• JaseciBench: A benchmark project for evaluating models, coding agents, and application-generation platforms.

I am also exploring vision-language models and the evaluation of text-to-image systems.

Compilers · Mathematical foundations of AI · AI systems research

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