Curriculum Vitae

Full name: Seyedsaman Emami

preferred name: Saman

About me

As a dedicated full-time researcher, PhD candidate, teacher assistant, mentor, and freelancer in the field of Computer Science and Artificial Intelligence, I bring over six years of hands-on experience with Python, C, and Java. My expertise extends to various domains, encompassing academic, professional, and personal pursuits. I specialize in the development of versatile machine learning algorithms, conducting statistical analyses, and creating robust mathematical models.

Profissional

A full-time researcher, teacher assistant, and co-founder.

  • Researching and Developing (full-time) and designing Deep Networks, Gradient Boosting Machines, GAN, and denoise diffusion models.
  • Teaching as a teacher assistant (full-time) Java and Computer Networks course.

publications

I have authored several scientific papers focused on the advancement of novel machine learning algorithms. For comprehensive information and direct access to each paper, please refer to the list of publications, here

Algorithms

I am passionately pioneering a groundbreaking approach to train deep Neural networks, pushing the boundaries of innovation. Simultaneously, I am delving into the fascinating realm of Bayesian Networks and Gradient Boosting Machines, exploring their potential for transformative solutions.

Academic backgrounds

Current

Researcher and University Teacher Assistant

Universidad Autónoma de Madrid - UAM.es

Aug / 2020 - until present

  • Run developed models with specific datasets and settings on a cluster server.
  • Create a novel training procedure for the shallow neural network.
  • Formulate a new algorithm in the Gradient Boosting Machine Area.
  • Create, develop, and formulate generic machine learning models.
  • Design a novel Deep Neural Network for image processing.
  • Teaching Java and computer Networks laboratory courses.

Most recent

Co-founder and CTO

NapCat - napcat.io

Jan / 2023 - Jan 2024

  • Developing Machine Learning Models (NLP, LLM, CNN, GAN).
  • Industry Research and Innovation.
  • Collaboration with External Partners.

Programming skills

  • LaTeX and Markdown
  • Python
  • Cython
  • Linux
  • Java
  • Bash
  • HTML
  • SQL
  • R

ML librariess

  • NumPy
  • Pandas
  • SciPy
  • Scikit-learn
  • XGBoost
  • PyTorch
  • TensorFlow
  • Keras
  • NLTK
  • Spacy

Licenses & certifications

Download the list of my certificates here

Recommendations

Some of the Received recommendation here