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Hi there 👋 I'm Sepehr.

Former computational neuroscientist now building something cool in AI + Healthcare :)

  • 🔭 I'm currently working on improving my DevOps/MLOps skills and training generative models.
  • 💬 I'm also interested in spatial computing, healthcare, computational psychiatry, and applying AI in these areas.

I am passionate and energetic about what I do and always happy to work with like-minded people. I want to make an impact and together build a better future for humanity!

Socials

The best way to reach me is via email. I am active on Linkedin and X (Twitter). I'm hoping to write more on Substack.

Sepehr Mahmoudian on LinkedIn Sepehr Mahmoudian on Substack Sepehr Mahmoudian on Google Scholar Sepehr Mahmoudian on X (Twitter) Sepehr Mahmoudian on Hugging Face

Expertise

I use Python and its ecosystem daily for AI/ML. I use C/C++ and RUST when performance is needed.

I've used many machine learning models over the years including reinforcement learning, Bayesian modeling, and various methods for clustering, classification, regression, and dimensionality reduction.

OS Linux Ubuntu MacOS Windows with WSL2
Tools git icon GitHub icon Anaconda Icon Visual Studio Code Icon Xcode Icon Jupyter Icon
AI/ML PyTorch Icon Python icon Numpy icon Pandas Icon SciPy Icon Pydantic Hugging Face Icon OpenAI icon LangChain icon MLX Icon NEST Icon
DevOps Dockerr icon Kubernetes icon Terraform icon Azure icon Jenkins icon Travis-CI icon OpenMPI icon OpenMP icon
Backend C icon C++ icon Rust icon Python icon django icon NodeJs icon MySQL icon MongoDB icon postgreSQL icon
Frontend HTML Icon CSS Icon SASS Icon JavaScript TypeScript blazejs icon React icon
Testing Mocha icon Pytest icon
Visualization Matplotlib icon Seaborn icon Marimo icon Three.JS icon Bokeh icon Tableau icon LaTeX icon
Native React Native icon Expo for React Native icon Swift icon Unity icon

My most important skills are adapting quickly, picking up new tech fast, and executing relentlessly with perseverance. I think these will be more important than ever with how fast technology will be advancing.

Sepehr Mahmoudian's Projects

aici icon aici

AICI: Prompts as (Wasm) Programs

arbor icon arbor

The Arbor multi-compartment neural network simulation library.

companion-app icon companion-app

AI companions with memory: a lightweight stack to create and host your own AI companions

dreamfields-3d icon dreamfields-3d

A colab friendly toolkit to generate 3D mesh model / video / nerf instance / multiview images of colourful 3D objects by text and image prompts input, based on dreamfields.

gpt4all icon gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

guidance icon guidance

A guidance language for controlling large language models.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

itermplot icon itermplot

An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

latexcv icon latexcv

:necktie: A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!

lava icon lava

A Software Framework for Neuromorphic Computing

mahmoudian-2020-rescience icon mahmoudian-2020-rescience

Three-way information-theoretic analysis of transfer functions - Sepehr Mahmoudian's replication of Smyth, Phillips, Kay 1996

mlalgorithms icon mlalgorithms

Minimal and clean examples of machine learning algorithms

nanogpt icon nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nest-simulator icon nest-simulator

Sepehr's fork - check branches for original contributions and ongoing work

networkx icon networkx

Official NetworkX source code repository.

pydantic icon pydantic

Data validation using Python type hints

pymc3 icon pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

python-neo icon python-neo

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate

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