CV
Pranav Kulkarni
Email Address | pranavk@umd.edu |
Current Position | Bioinformatics Software Engineer I University of Maryland Institute for Health Computing |
Citations and h-index | Google Scholar |
Education
- Aug 2018 - May 2022
BS in Computer Science
University of Maryland, College Park, MD
- Machine Learning Track.
- Completed Capstone Research in Machine Learning with Dr. Tom Goldstein on adversarial attacks with semantic perturbations and fast gradient sign method on a LLM for detecting AI-generated fake news articles.
- Complete the First-Year Innovation and Research Experience with Dr. Müge Karagöz.
- Aug 2018 - May 2022
BS in Mathematics
University of Maryland, College Park, MD
- Completed dual-degree in Mathematics.
Experience
- Apr 2024 - Present
Bioinformatics Software Engineer I
University of Maryland Institute for Health Computing, North Bethesda, MD
- Developing web-based informatics tools for clinical data engineering, analysis, and visualization across the entire software stack using VueJS, Flask, and MySQL.
- Aug 2022 - Apr 2024
Bioinformatics Software Engineer I
University of Maryland Medical Intelligent Imaging (UM2ii) Center, University of Maryland School of Medicine, Baltimore, MD
- Research focused on collaborative cross-domain intelligence systems, resource-efficient AI, adversarial bias attacks, and other translational research projects.
- Developed tools for processing and analyzing medical images from radiology PACS/VNA systems.
- Jan 2021 - May 2022
Head Teaching Assistant
Department of Computer Science, University of Maryland, College Park, MD
- Held weekly recitations for over 200 students, facilitated review sessions for over 2000 students, planned and restructured course material, managed over 50 teaching assistants, and held office hours.
- Sep 2019 - Mar 2020
MATLAB Tutor
Department of Mathematics, University of Maryland, College Park, MD
- Provided one-on-one tutoring to undergraduate students in MATLAB programming for linear algebra, differential equations, and multivariate calculus, tailored to their course and proficiency.
- May 2019 - Aug 2019
Summer Research Fellow
The First-Year Innovation and Research Experience, University of Maryland, College Park, MD
- Applied ML to reconstruct tree-like structure of particles splitting for the Compact Muon Solenoid experiment in CERN's Large Hadron Collider using unsupervised RNN.
Coursework and Skills
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Computational Coursework
- Geometric Computer Vision, Computer Vision, Deep Learning, machine Learning, Artificial Intelligence, Algorithms, Data Structures, Data Science, Functional Programming, Object-Oriented Programming
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Mathematics Coursework
- Linear Algebra, Multivariate Calculus, Advanced Calculus, Differential Equations, Partial Differential Equations, Fourier Transforms, Statistical Analysis
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Technical Skills
- Python. TensorFlow, PyTorch, Git, Linux, C/C++, C#, Java, VueJS, MATLAB, SQL
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Other Skills
- Data Visualization, Data Analysis, Scientific Writing, Public Speaking
Inventions, Patents, and Copyrights
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Systems and Methods for High-Throughput Analysis for Graphical Data
- Inventors: Vishwa S. Parekh, Pranav Kulkarni, Adway Kanhere, Paul H. Yi, and Eliot L. Siegel
- US Patent Application No. 63/501,552. Filed May 11, 2023.
- PCT International Patent Application No. PCT/US2024/028956. Filed May 10, 2024.
Honors and Awards
- 2024
Best Poster Award (Co-Author)
Data Curation and Augmentation in Medical Imaging Workshop, IEEE/CVF Conference on Computer Vision and Pattern Recognition
- 2019
Summer Fellowship Award
First-Year Innovation and Research Experience (FIRE) program, University of Maryland.
- 2019
125 Mile E-Bike Challenge Preliminary Design Competition Award
A. James Clark School of Engineering, University of Maryland.
- 2018 - 2022
Semester Academic Honors (Dean's List)
College of Computer, Mathematical, and Natural Sciences, University of Maryland.