mojtaba hasani

 Expertise and strong research and deploying ability on Machine Learning and Deep Learning issues,
Meta Heuristic and Evolutionary Computing, Computer Vision and etc.
 Strong ability to research and deploy ML/DL models for any challenging problem, and great in
improving existing solutions and keeping track of state-of-the-art approaches.
 Experience in training and deploying neural networks on local GPU-Based systems and Google Colab.
 Deep expertise with languages like C++/VC++, C# and familiar with Matlab, Java, Delphi and etc.
 Proficient in Python with Keras, TensorFlow, Numpy, Scipy, scikit-learn and etc in related fields.
 Excellence in working with Tabular-Data via XGBoost, LightGBM and etc.
 Experience in price optimization, stock market prediction and forecasting from time series by
statistical models or deep neural networks (LSTM, GRU and Reinforcement Learning).
 Experience working with large data sets, by utilising Python libraries such as H5py, Pandas, etc.
 Skilled in Image and video processing by Python libraries such as OpenCV, Pillow and ffmpeg, etc.
 Experience in implementing many excellent systemic and GIS based Map applications.
 Experience in Speed Up Python, C++ and C# Code (Concurrent and Parallel Programing)
 Good level of Signal and Image Processing (CBIR, Classification, Recognition, Computer Vision, etc…)
by Python, Matlab, VC++ and C#.
 Experience with image, text and video understanding with knowledge of CV algorithms and deep
learning models training and optimizing to perform visual perception tasks in the areas of object
detection, recognition, classification, segmentation and tracking.
 Fair understanding and familiarity of sensor calibration (radar, camera)
 Knowledge of model architecture, optimization, transfer learning and familiar with Neural Net
Compression, Quantization, Data Fusion and Fuzzy Logic Systems.
 Experience in Visual Object Recognition from Brain EEG signals (and BCI systems).
 Prior experience with temporal data (EEG / videos / time series)
 Good level in Database Management Systems (SQL, No-SQL).
 Proficient with OOP, DRY, SOLID, Concurrency, Parallelism, Test and Design Patterns.
 Experience in GPU based model deploying and familiar with CUDA/GPU programming with C++, C#.
 Knowledge and familiarity with GAN, NLP, Machine-Translation, Question-Answering, ChatBots and
Intelligent Assistants.
 Deep understanding of computer science fundamentals, including data structures, algorithms,
computability and complexity and computer architecture.