Hello world, I'm Muhtasham and I 🤗 open-source
Field of interests: Zero-Shot Learning, Multi-modal and Multi-task Learning, Synthetic Data Augmentation, Anomaly Detection in E-Commerce
Skills 🛠️
- Languages: Python, C++, Matlab
- DS/ML/DL: NumPy, SciPy, Pandas, Scikit-Learn, PyTorch, Tensorflow, Hugging Face
🤗 - RDBMS: NoSQL
- Big Data: Hadoop Spark
- DevOps: Linux, Git, Docker, REST API, CI
Work experience 👔
| Job Position | Company | Field | Work Period |
|---|---|---|---|
| ML Engineer | Alyne | NLP, Multi-Task Learning | 01.03.2022 — until now |
| ML Engineer | Datamics | ML, Anomaly Detection | 15.01.2021 — 28.02.2022 |
| ML Engineer | Mirage | CV, Synthetic Data Augmentation | 01.02.2020 — 01.08.2020 |
| ML Engineer | Vispera | CV, GANS | 01.07.2019 — 15.09.2019 |
Education 🎓
- Master’s degree at Technical University of Munich (2020 - Sep 2022)
- Thesis in progress
- Bachelor's degree at Sabanci University (2016 - 2020)
- Diploma thesis: "A Deep Neural Network for SSVEP-based
🧠 Computer Interfaces"
- Diploma thesis: "A Deep Neural Network for SSVEP-based
Projects 🚀
-
📑 ECOC based Multi-Class Classification for BCI - Developed DNN, under ECOC framework to detect the character out of 40 possibilities that the (disabled) subject wants to communicate via Brain Computer Interface (BCI). -
📑 Fault-Tolerant Strassen-Like Matrix Multiplication - Designed parity calculations to make matrix multiplication calculations, using Strassen-Like algorithms on cloud computing environment (with parallel setting) fault-tolerant. -
📑 TajBERTo - Developed first ever RoBERTa-like language model based on Tajik language after extensive filtering of the dataset. The model can be used for masked text generation or fine-tune it to a downstream task.