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SatvikPraveen/README.md
Satvik Praveen, PhD Researcher: computer vision, generative AI and efficient ML

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PhD researcher in Computer Science & Engineering at the University of South Florida (YES Lab, advisor: Dr. Yi Sheng), working on efficient and generative AI for computer vision and imaging. Before USF I completed an M.S. in Data Science at Texas A&M, where I worked on NeRF and Gaussian Splatting for plant phenotyping.

I care about strong baselines, careful evaluation and code that others can reproduce.

Research

Work What it is Links
BAP-MOS Bandit-based adaptive prompting for segment-anything models on multi-organ ultrasound segmentation Paper · Code
Embodied foundation models at the edge Survey of deployment constraints and mitigation strategies for embodied AI on edge hardware (co-author) Paper
Demonstration selection for ICL Benchmark of demonstration-selection strategies for in-context learning with LLMs Code

Ongoing work covers generative models for image reconstruction, device-aware model compression and reinforcement learning. Full publication list on Google Scholar.

Tools

Python PyTorch JAX NumPy scikit-learn Docker Linux SLURM / HPC SQL AWS

Open to research internships and collaborations. The quickest way to reach me is email or LinkedIn.

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  1. BAP-MOS BAP-MOS Public

    Official implementation of BAP-MOS: Bandit-Based Adaptive Prompting for Boundary-Sensitive Multi-Organ Segmentation.

    Python 1

  2. Optimal-Demo-Selection-ICL Optimal-Demo-Selection-ICL Public

    Benchmark of demonstration-selection methods for in-context learning with LLMs: IDS, RDES, influence-based selection, Se² and TopK+ConE.

    Jupyter Notebook 4

  3. gbm-drug-recommender gbm-drug-recommender Public

    Drug recommendation for glioblastoma from GDSC data: response prediction (RF, XGBoost, NN, SVM, KNN), molecular similarity and pathway analysis.

    Python

  4. JAX-NSL JAX-NSL Public

    Neural networks and scientific computing in JAX: custom autodiff, physics-informed networks, distributed training and optimization.

    Jupyter Notebook 1

  5. FashionMNIST-Analysis FashionMNIST-Analysis Public

    Reproducible multi-seed study of Fashion-MNIST in PyTorch: pretrained backbones, augmentation, seed ensembles, calibration and robustness.

    Jupyter Notebook 5 3

  6. Nextjs-Ecommerce Nextjs-Ecommerce Public

    Demo e-commerce site in Next.js 15, TypeScript and Prisma, with an admin dashboard, Stripe payments and Docker deployment.

    TypeScript 10 9