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Farid H.
Machine Learning Engineer
Farid is a skilled Machine Learning Engineer with a history of working in various tech companies and research projects.
Throughout his career, he has accomplished several notable projects, including working on an AI-based news aggregation and filtering system for a news website startup in Azerbaijan. Additionally, he spearheaded the development of a speech recognition model designed for the Azerbaijani language as part of an R&D project for a tech startup.
Furthermore, he was pivotal in advancing conversational intelligence for clients across diverse industries, such as banking and food. His contributions have proven invaluable in enhancing customer interactions and overall user experience.
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
- Engaged in research and development activities.
- Developed a REST server for the Autocorrect module, providing seamless and efficient functionality.
- Leveraged OPTUNA for automatic hyperparameter tuning, optimizing the performance of models and algorithms.
- Employed explainable AI techniques, including tools like Captum, Lime, and SHAP, to provide interpretable insights into model predictions and decision-making processes.
- Conducted fine-tuning of BERT models for intent classification tasks, refining their performance on specific contextual understanding tasks.
- Implemented a PyTorch-based DIET classifier from scratch, enabling broad intent recognition and classification.
- Conducted experiments with RASA's open-source conversational AI framework, exploring its capabilities and potential applications.
- Explored end-to-end dialog models using Language Models (LLMs), investigating their effectiveness and performance in conversational AI tasks.
Technologies:
- Technologies:
- Data Science
Python
- PyTorch
Machine Learning
- NLP
Scikit-learn
Docker
Git
Data Scientist
eTeam - 2 months
- Worked on R&D and Data Analysis;
- 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
Deep Learning Engineer
BUGLANCE - 1 year 3 months
- Held complete responsibility for overseeing and managing the entire lifecycle of ML projects.
- Successfully implemented a state-of-the-art Azerbaijani Speech-to-Text model using the Kaldi toolkit and Python.
- Developed an Azerbaijani Text-to-Speech model using the Tacotron2 and parallel vegan model for synthesis in PyTorch.
Technologies:
- Technologies:
-
Python
- PyTorch
- NLP
-
Scikit-learn
PostgreSQL
-
Docker
-
Git
Education
MSc.Computer Engineering
Hacettepe University · 2016 - 2019
BSc.Industrial Engineering
Middle East Technical University · 2009 - 2014
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