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.
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Successfully worked on AI-based news aggregation and filtering project for a news website startup in Azerbaijan;
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Developed a speech recognition model for the Azerbaijani language as an R&D project for a tech-startup;
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Contributed to the development of conversational intelligence for clients in various industries, including banking and food;
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Published a research paper in a well-known paper during his graduate studies, which demonstrates his research skills;
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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 3 years
- NumPy 5 years
Other skills
- Data & Analytics 3 years
- TensorFlow 2 years
- PostgreSQL 2 years
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.
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R&D on Intent Classification;
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Built REST server for Autocorrect module;
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Used OPTUNA for automatic hyperparameter tuning;
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Explainable AI: captum, lime, SHAP are used;
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Finetuned BERT models on intent classification tasks;
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Applied DIET classifier in Pytorch from scratch;
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Experimented with open-source conversational AI RASA;
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Experimented with end-to-end dialog models using LLMs.
Technologies:
- Technologies:
- Data Science
Python
- PyTorch
Machine learning
- NLP
Scikit-learn
Docker
Git
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Data Scientist
eTeam - 2 months
Provider of SOW-based staffing and solutions and global contingency workforce management to Fortune 1000 companies.
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Worked on R&D and did Data Analysis;
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Applied Sentiment Analysis Model from start to deployment, using Python, PyTorch, scikit-learn, Docker and Flask.
Technologies:
- Technologies:
Python
- PyTorch
Scikit-learn
Docker
Git
FastAPI
Flask
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Deep Learning Engineer
BUGLANCE - 1 year 3 months
Buglance, the tech company, is a tool to find bugs in your app.
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Fully responsible for the ML projects;
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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;
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Our ASR model is currently the best model for Azerbaijani;
Technologies:
- Technologies:
Python
- PyTorch
- NLP
Scikit-learn
PostgreSQL
Docker
Git
-
Machine Learning Engineer
ITCITY - 1 year 3 months
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Fully responsible for the ML projects and crawlers;
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Applied Generic Crawler to get data from any news page, even if they change their design;
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Built the ETL process, getting news data from 200 different Azerbaijani news channels;
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Applied Similarity Detection, Text Categorization, NER, Sentiment;
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Analysis, Keyword Extraction, Summarization to those data;
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Finished Projects: aqreqator.az.
Technologies:
- Technologies:
- Data Science
Keras
Python
Machine learning
- NLP
Scikit-learn
PostgreSQL
Git
Flask
Matplotlib
BeautifulSoup
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Education
MSc.Computer Engineering
Hacettepe University · 2016 - 2019
BSc.Industrial Engineering
Middle East Technical University · 2009 - 2014
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