Mahesh Bhosale is a PhD candidate in Computer Science at the University at Buffalo focused on computer vision research under Dr. David Doermann, working on image registration, diffusion-based generative modeling for medical and chart images, multimodal LLMs, and activity spotting. With 11 years of industry and research experience, he brings a strong systems background from four years debugging kernels and filesystems at Veritas and applied ML engineering on predictive scheduling and resource optimization. At UB he combines hands-on research, lab management and teaching—designing assignments, mentoring students, and communicating results to stakeholders—while investigating hallucinations in diffusion models and medical image synthesis. He is also an active open-source contributor, having integrated a Marathi corpus into the well-known Classical Language Toolkit and authored detailed documentation and tokenization examples. Known for meticulous, lengthy written notes, he blends rigorous engineering discipline with a curiosity for multimodal and generative approaches to real-world vision problems.
Contributions:34 commits, 11 PRs, 32 comments in 3 months
Contributions summary:Mahesh primarily contributed to the Classical Language Toolkit (CLTK) by adding and integrating a Marathi corpus from Wikisource. Their work involved modifying existing importer scripts and corpora files to include the Marathi language. Additionally, they added documentation for the Marathi language, including tokenization examples and alphabet details. This included significant work on the documentation, including adding and updating the documentation index and implementing examples in the Marathi language.
Contributions:23 pushes, 1 branch in 3 years 11 months
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