- 🚀 Expert in Statistics and Probability, Machine Learning, Deep learning, Image/signal Processing, and MLOps techniques (Continuous Integration and Deployment, DataOps - Isolation, DataOps - Orchestration, Monitoring).
- 📊 Acadamic Lecturer of Datascience, and Artificial Intellegance in IU International University of Applied Science.
- 🏢 Possessing over a decade of experience in designing cutting-edge hardware and algorithms for devices (designed more than 10 Sensors from scratch idea to preproduct stage).
- 🏢 Over 13 years of pure R&D experience in world-class organizations such as Huawei Sensor Lab, Technical University of Munich, Helmholtz Zentrum, and various startup companies.
- 🎓 Having a PhD in Electronic and Informatics from Technical Univerisity of Munich.
- 📜 Certified Data Scientist and MLOps Engineer from Datascientest and University of Sorbonne.
- 🖥️ Expert in using Python, Matlab.
- 🤖 Developer of end-to-end AI/ML/DL projects, collaborating with cross-functional teams.
- 🌱 I’m currently working on phyisics informed - Generative AI for material discovery, drug delivery.
| Project Title | Techniques | Data Types | Cover |
|---|---|---|---|
|
BloodPy-Automated Blood Cell Classifier Multi-Classification of Peripheral Blood Cells using Deep Convolutional Neural Networks and Machine Learning Models. |
- Deep CNN - Data Augmentation - Transfer Learning - U-Net - Image Processing - Statistical Analysis - OpenCV - Fine-tuning |
- Microscopy Images based on Munich/Barcelona Hospital images. |  |
| Project Title | Techniques | Data Types | Cover |
|
Breast Cancer Classification: real world problem Predicting if the cancer diagnosis is benign or malignant based on several observations/features |
- SVM - RandomForestClassifier - Regression - KNeighborsClassifier - Object oriented - Gridsearch | - 30 features are used, examples: - radius (mean of distances from center to points on the perimeter) - texture (standard deviation of gray-scale values) - perimeter - area - smoothness (local variation in radius lengths) - compactness (perimeter^2 / area - 1.0) - concavity (severity of concave portions of the contour) - concave points (number of concave portions of the contour) - symmetry - fractal dimension ("coastline approximation" - 1) |  |
|
Stock Market Prediction
Predicted stock values for various stocks, including Apple. |
- LSTM , FastApi, Kubernetes, Apache-Airflow, MLFlow, CI/CD, Prometheus, Grafana |
- Historical data prices, Sentiment Analysis, Yahoo, Alpha Vintage, ... |  |
|
calibration and prediction in noninvasive glucose sensors - AI, ML techniques for noninvasive blood glucose reading (not publick) - Market analysis - Academic researches |
- PCA, PLS, ICA, ANN, - Signal processing, Filter design, - Statistics, Mathematics, Phisics |
- realtime Data import |  |
|
Automatic Survey Producer API A survey with different subject, use, and Number were chosen from survey Bank. Fast API were used to deploy the content. |
- Fast API |
- .csv Questoin Bank |  |