Skip to content
View Nifdi01's full-sized avatar
25 followers · 50 following

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

Highlights

  • Pro

Block or report Nifdi01

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Nifdi01/README.md

I build full-stack web applications and command-line tools to streamline workflows.

What I Do

  • Doctoral Student in Genomics
  • Building full-stack apps and CLI tools for genomic data analysis
  • Core Tech: Python, TypeScript, React, FastAPI, Docker, Jupyter

Tech & Tools

  • Languages: Python, TypeScript, JavaScript, SQL, C++
  • Backend & Data: FastAPI, Django, Celery, Redis, PyTorch, Pandas, Jupyter, Spring, Sklearn, Numpy
  • Frontend: React, Vite, Tailwind CSS
  • Environment: Linux, Neovim
  • Cloud & Deployment: Docker, GitHub Actions, AWS, GCP, Railway, on-premise

📫 Connect With Me

Pinned Loading

  1. posthoc posthoc Public

    PostHoc is a framework for benchmarking and comparing post-hoc explainability methods for deep learning models in genomics. It evaluates attribution consistency, robustness, and agreement across me…

    Python

  2. virus-classifier-app virus-classifier-app Public

    Full Stack Virus Classification Application. Comes with experiments and comparative analysis of models, frontend, and backend APIs.

    Jupyter Notebook 1

  3. chest-xray-impact-analysis chest-xray-impact-analysis Public

    A systematic impact analysis of data augmentation, loss functions, and regularization techniques on multi-label chest X-ray classification using the NIH ChestX-ray14 dataset.

    Jupyter Notebook