I'm a passionate Software and Machine Learning Engineer with a strong background in ML practices, data analysis, and statistical modeling. I'm dedicated to solving real-world problems using data-driven insights. My work involves turning data into actionable intelligence and making data-driven decisions.
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Machine Learning:
- Developed machine learning models for various applications including human activity recognition, person tracking, and peak detection.
- Implemented CNN, RNN (LSTM/GRU), and Autoencoder models for person tracking and identification.
- Experience with TensorFlow, PyTorch, and scikit-learn.
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Data Analysis:
- Explored and cleaned data for preprocessing.
- Developed preprocessing pipelines for signal processing using pandas and numpy.
- Analyzed data for insights and visualization.
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Software Engineering:
- Developed distributed and multi-threaded edge computing server-client networks using Python and socket programming.
- Experience with developing internal features for university infrastructure using .NET, MySQL, and NodeJS.
Programming Languages:
- Python, SQL, LaTeX, R, C++, Java
Frameworks/Libraries:
- TensorFlow, PyTorch, scikit-learn, Numpy, Pandas, Matplotlib
Techniques:
- Neural Networks, YOLO, DBSCAN, SVM, Kalman Filter, Decision Tree, k-means, PCA, micro-Doppler
Applications:
- Classification, Regression, Clustering, NLP, Object Detection, Activity Recognition, Data Science, Data Engineering (EDA)
Other Tools/Platforms:
- VSCode, Jupyter, AWS, Docker, Git, Bitbucket
- RAPID: Retrofitting APs for Indoor human Detection and sensing: A mmWave wireless sensing setup for Human Activity Recognition and Person Detection built with a multi-modal CNN
- RadNet: a testbed for mmwave RADar NETworks: An edge computing radar-networks testbed for distributed and parallel computing implemented in Python (threading, socket)
- Video‑based person‑dependent and person‑independent facial emotion recognition: Recognizing 6 basic emotions through video samples via multi-modal CNN
- PHD in Information, Communication and Technology University of Padova - 2023
- MSc in Computer Science and Applied Mathematics Eastern Mediterranean University - 2019
- BSc in Computer Engineering Bilkent University - 2017
- 📧 Email: enver.bashirov@gmail.com
- LinkedIn: Enver Bashirov
Feel free to explore my projects and get in touch if you'd like to collaborate or discuss data-related topics. I'm always open to new opportunities and challenges!