Mete Mahammad Ismayilzada

About Me

I am currently pursuing Master’s in Data Science at EPFL where I do research on reasoning at NLP Lab and AI lab. Previously, I have been software/ML engineer, co-founder/entrepreneur and have 5+ years of experience in areas ranging from semiconductors to AI. I am also a proud University of Waterloo alumnus.

Research Interests

My interests broadly lie within the nature of robust artificial intelligence, language, cognitive science and mind. Currently, I am exploring neurosymbolic AI, reasoning, compositionality, abstraction/analogy, linguistically motivated NLP and knowledge-driven, cognitive-model-based AI.

Publications

  1. REFINER: Reasoning Feedback on Intermediate Representations
    Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
    Preprint
    [paper]
  2. kogito: A Commonsense Knowledge Inference Toolkit.
    Mete Ismayilzada, Antoine Bosselut.
    EACL 2023
    [paper] [demo] [code] [docs]

Education

  1. Master’s in Data Science. EPFL. Switzerland. 2021-Present.
  2. Bachelor’s in Computer Science. University of Waterloo. Canada. 2012-2016.

Academic Experience

  1. Student Teaching Assistant. Modern NLP. EPFL. Spring 2023.
  2. Student Teaching Assistant. Applied Data Analysis. EPFL. Fall 2022
  3. Research Assistant. Artificial Intelligence Lab. EPFL. Fall 2022.

Industry Experience

  1. Research Intern. Sony Inc. Tokyo, Japan. Summer 2022.
  2. Software/ML Engineer. integrate.ai. Toronto, Canada. 2019-2021
  3. Co-founder/CTO. Destin AI. Toronto, Canada. 2017-2019.
  4. Software Engineer. Bluecat Networks. Toronto, Canada. 2017-2018.
  5. Software Engineer. Cisco Systems. Ottawa, Canada. 2016-2017.
  6. Software Engineer Intern. Freescale Semiconductors. Ottawa, Canada. Summer 2015.
  7. Software Developer Intern. TD Securities. Toronto, Canada. Summer 2014.
  8. Software Developer Intern. Azercell MMC. Baku, Azerbaijan. Summer 2013.

Projects

  1. Mini-Pytorch. From scratch implementation of (mini) pytorch autograd and several core modules. [code]
  2. Words and Personalities. Personality analysis based on quotes. [demo] [code]
  3. Differentially Private Random Forest Classifier. [code]

Blogposts

  1. From Words to Vectors. Towards Data Science. Medium. [link]

Hobbies

In my free time, I like to read, bike, play piano and watch (usually long) international arthouse films.

Contact

  1. mismayilza [at] gmail [dot] com
  2. github
  3. linkedin

Fin