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raminmohammadi/README.md

Hi there 👋

Here are some ideas to get you started:

  • 🔭 I’m currently working on some cool stuff.
  • 🌱 I’m currently learning so many things 🤣
  • 🕺🏻I’m looking to collaborate on MLOPS , Gen-AI, NLP and GradientBluePrint repos.
  • 📫 How to reach me: R.mohammadi@northeastern.edu
  • 🌐 Visti my website for learnig materials on ML and MLOPs MLwithRamin
  • ⚡ Fun fact: Love my 🐶 and FabulousCat and 💪

✨ About Me

Resume

I’m an AI/ML engineer and technical leader with over 8 years of experience building scalable machine learning systems across domains like healthcare, cybersecurity, and enterprise automation. My work spans end-to-end ML pipelines, federated learning, NLP, MLOps, and Generative AI—from architecting infrastructure to deploying models in production environments with tight privacy and compliance constraints.

I’ve led cross-functional ML teams, developed LLM-powered automation agents, built streaming data pipelines, and helped drive AI-first product strategy through fast, high-impact iterations. My focus is always on bridging the gap between research and real-world implementation.

I also serve as an Adjunct Professor at Northeastern University, where I teach graduate and Ph.D.-level courses in Machine Learning, MLOps, NLP, and Generative AI. I lead a team of teaching assistants, mentor project-based learning at scale, and help students land roles in applied AI.

Explore my repositories to find work in MLOps, Generative AI, RAG pipelines, and NLP, and feel free to reach out if you’d like to collaborate or geek out about building real, production-ready AI systems.

Ramin's GitHub stats

🎬 YouTube Channel

📕 Latest Blog Posts

Awards and Achievements

  • Intel Ignite Alumni - Intel Ignite
  • Finalist of the Boston Scientific Callenge at Google Final Round Video
  • Akira Yamamura Excellence in Research Award - Northeastern University
  • Achieved PhD Spotlight at Northeastern University - PhD Spotlight

Practical AI 273: Using edge models to find sensitive data

Listen to the episode using the link below:

Practical AI 273

Practical AI 273: Using edge models to find sensitive data

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  1. MLOps MLOps Public

    Machine Learning In Production (MLOps)

    Jupyter Notebook 154 244

  2. NLP NLP Public

    Applied Natural Language Processing Course (NLP)

    Jupyter Notebook 26 8

  3. GEN-AI GEN-AI Public template

    Generative AI (GEN-AI)

    Jupyter Notebook 58 24

  4. GradientBlueprint GradientBlueprint Public

    Python 2