Farid H.

Machine Learning Engineer

Farid is a skilled Machine Learning Engineer with a demonstrated history of working in various tech companies and research projects.

  • Successfully worked on AI-based news aggregation and filtering project for a news website startup in Azerbaijan;

  • Developed a speech recognition model for the Azerbaijani language as an R&D project for a tech-startup;

  • Contributed to the development of conversational intelligence for clients in various industries, including banking and food;

  • Published a research paper in a well-known paper during his graduate studies, which demonstrates his research skills;

  • Seeking an NLP engineer role where he can leverage his deep learning techniques to develop cutting-edge products.

Main expertise

  • Data Science 4 years
  • Keras
    Keras 3 years
  • NumPy
    NumPy 5 years

Other skills

  • Data & Analytics 3 years
  • TensorFlow
    TensorFlow 2 years
  • PostgreSQL
    PostgreSQL 2 years
Farid

Farid H.

Azerbaijan

Book Farid H.

Selected experience

Employment

  • Machine Learning Engineer

    OMILIA LTD - 1 year 3 months

    Omilia is the leading provider of Natural Language Understanding enabled IVR & natural dialogue interaction solutions.

    • R&D on Intent Classification;

    • Built REST server for Autocorrect module;

    • Used OPTUNA for automatic hyperparameter tuning;

    • Explainable AI: captum, lime, SHAP are used;

    • Finetuned BERT models on intent classification tasks;

    • Applied DIET classifier in Pytorch from scratch;

    • Experimented with open-source conversational AI RASA;

    • Experimented with end-to-end dialog models using LLMs.

    Technologies:

    • Technologies:
    • Data Science
    • Python Python
    • PyTorch
    • Machine learning Machine learning
    • NLP
    • Scikit-learn Scikit-learn
    • Docker Docker
    • Git Git

  • Data Scientist

    eTeam - 2 months

    Provider of SOW-based staffing and solutions and global contingency workforce management to Fortune 1000 companies.

    • Worked on R&D and did Data Analysis;

    • Applied Sentiment Analysis Model from start to deployment, using Python, PyTorch, scikit-learn, Docker and Flask.

    Technologies:

    • Technologies:
    • Python Python
    • PyTorch
    • Scikit-learn Scikit-learn
    • Docker Docker
    • Git Git
    • FastAPI FastAPI
    • Flask Flask

  • Deep Learning Engineer

    BUGLANCE - 1 year 3 months

    Buglance, the tech company, is a tool to find bugs in your app.

    • Fully responsible for the ML projects;

    • Applied Azerbaijani Speech to text model using kaldi toolkit together
      with python;

    • Applied Azerbaijani Text to speech model using tacotron2 model with parallel vegan model for synthesis in PyTorch;

    • Our ASR model is currently the best model for Azerbaijani;

    • Https://imla.az/

    Technologies:

    • Technologies:
    • Python Python
    • PyTorch
    • NLP
    • Scikit-learn Scikit-learn
    • PostgreSQL PostgreSQL
    • Docker Docker
    • Git Git

  • Machine Learning Engineer

    ITCITY - 1 year 3 months

    • Fully responsible for the ML projects and crawlers;

    • Applied Generic Crawler to get data from any news page, even if they change their design;

    • Built the ETL process, getting news data from 200 different Azerbaijani news channels;

    • Applied Similarity Detection, Text Categorization, NER, Sentiment;

    • Analysis, Keyword Extraction, Summarization to those data;

    • Finished Projects: aqreqator.az.

    Technologies:

    • Technologies:
    • Data Science
    • Keras Keras
    • Python Python
    • Machine learning Machine learning
    • NLP
    • Scikit-learn Scikit-learn
    • PostgreSQL PostgreSQL
    • Git Git
    • Flask Flask
    • Matplotlib Matplotlib
    • BeautifulSoup BeautifulSoup

Education

  • MSc.Computer Engineering

    Hacettepe University · 2016 - 2019

  • BSc.Industrial Engineering

    Middle East Technical University · 2009 - 2014

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