Parichit Sharma
Postdoctoral Fellow at University of Maryland, Baltimore (UMB)
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolParichit Sharma is a postdoctoral fellow and applied AI researcher with 11 years of experience building scalable machine learning and bioinformatics software that bridges research and production. He specializes in data-centric AI and unsupervised ML, with PhD work and publications at ICML and NeurIPS demonstrating clustering and data-reduction methods that deliver 5–220x compute improvements and 50x faster convergence on large datasets. Parichit has a strong open-source track record—his contributions to the DIPY medical imaging library and widely downloaded tooling/web portals (30,000+ downloads) show practical impact in biology and scientific software. He has applied these skills across genomics, scRNA-seq, and LLM hallucination-detection pipelines, routinely trading clever algorithmic design for large reductions in training time and cost. Based in Baltimore, he combines deep academic rigor with hands-on engineering to make AI both efficient and accessible to domain scientists.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Unsupervised ML | Data-Centric AI | Bioinformatics, Doctor of Philosophy - PhD Unsupervised ML | Data-Centric AI | Bioinformatics at Indiana University BloomingtonBachelor of Technology (B.Tech) Computer Science & Engineering, Bachelor of Technology (B.Tech) Computer Science & Engineering at Dr. A.P.J. Abdul Kalam Technical University
Hindi, English, Punjabi, Marathi
Github Skills (12)
command-line-interface10
medical-imaging10
work-flow10
workflow-engine10
python10
cli10
command-line10
neuroimaging9
argparse9
abtest7
ab-testing7
testing7
Programming languages (3)
Github contributions (5)
dipy/dipy
May 2018 - Sep 2018
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:65 commits, 23 PRs, 64 comments in 3 months
Contributions summary:Parichit primarily contributed to enhancing the DIPY workflow system, a library for medical imaging in Python. They focused on improving the robustness and usability of the workflow framework, including adding argument checks, refining help messages, and fixing formatting. Their work involved modifying core workflow components, specifically within the `dipy.workflows` module, demonstrating a focus on functionality and maintainability of the library's command-line interface.
signalpythonmicrostructurespatialtractography
parichit/dipy
May 2018 - Sep 2018
Diffusion MR Imaging in Python
Contributions:119 pushes, 28 branches in 3 months
diffusionpythonimaging
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