Mahesh Bhosale
Doctoral Researcher at The Research Foundation for SUNY
Buffalo, New York, United States
Summary
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Senior🎓
Top SchoolMahesh 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.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at BuffaloH.S.C, Science, H.S.C, Science at Willingdon College Of Arts and Sciences, SangliBachelor of Technology - BTech, Information Technology, Bachelor of Technology - BTech, Information Technology at Walchand College of Engineering(A Govt. Aided Autonomous Institute),SANGLI-M.S
English, Marathi, Hindi, Spanish, Sanskrit
Github Skills (5)
nlp10
python10
documentation10
historical9
linguistics9
Programming languages (8)
Github contributions (5)
cltk/cltk
Sep 2017 - Dec 2017
The Classical Language Toolkit
Role in this project:
Back-end Developer & Technical Writer
Back-end Developer & Technical WriterContributions: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.
nlplingpythonlatinnltk
bhosalems/MusicGenreClassifier
Jan 2018 - Aug 2022
Classifying Music genres of audio files.
Contributions:10 PRs, 23 pushes in 4 years 8 months
nlppythongenresdeep-learningmachine-learning
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