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20 years experience in Machine Learning | LLM | AI ChatBot Expert
Here I am Shahbaz, Passionate about Artificial Intelligence, Machine learning, Deep Learning, Data Mining, and relevant fields. I am new here to offer my expertise to contribute in a more ambitious way to the AI domain. About me: 🏆 Ph.D. in Applications of Data Mining / Machine Learning / Statistical Analysis and Data Modelling. 🏆Post-Doctoral Research and Research Associate at Ryerson University, Canada (2008) 🏆Post-Doctoral Research at Loughborough University, UK (2005) 🏆Doctoral Degree in Applications of Data Mining / Machine Learning / Statistical Analysis and Data Modelling from Loughborough University, UK (2005) 🏆Masters from Cranefield University, the UK in Software Techniques for CAE (2000) 🏆Mechanical Engineering Degree from UET, Lahore, Pakistan (1997) 🏆Supervised 7 PhDs (Completed) and over 50 M.Sc. 🏆100+ Impact factor Publications in International journals and peers reviewed conferences 🏆Reviewer of several International Journals and Conferences 🏆 Project-based work experience (project based) with Rolls Royce and AstraZeneca for the implementation of data mining techniques during Ph.D. research 🏆Over 20 years of teaching and research experience at graduate and post-graduate levels and four years of industrial experience. • • • • WHAT I OFFER • • • • ✅Web Development: Python Development, development of ERP system-based product. Developing the Rest APIs and Micro-services using Flask and ORM for Relational Databases. Building the novel features according to the user requirements from the state of the art. ✅Computer Vision: Facial Recognition, Object Classification, Localization, Detection, and Segmentation. ✅Machine Learning: ✅Classifiers, k-NN, SVM, Random Forest, Decision Trees, Logistic Regression, Neural Networks, Perceptron Network, Adaline Network, Hebbian learning, Hopfield Network, Boltzman machine, Boosting and Bagging techniques, etc. ✅Optimization techniques: Gradient descent, Adam, SGD, etc. ✅Deep Learning: - Convolution Neural Networks: Inception-ResNet, ResNet, GoogLeNet, VGG, AlexNet, RCNN, YOLOv3 etc. - Recurrent Neural Networks: RNN, GRU, LSTM - Generative Adversarial Networks (GANs) ✅Natural Language Processing(NLP): - NLTK, Spacy, Wav2Vec, Roberta, NER models, Word2vec, Bidirectional LSTM Encoders, Bert, Transformers, etc. ✅Frameworks and Libraries: - PyTorch, TensorFlow, Scikit-Learn, Scikit-Image, OpenCV, NumPy, Pandas ✅Amazon AWS: - S3, Cloud watch, OpsWork, AWS-Redshift. ✅OpenCV Hands-on experience in using cloud-based GPUs (Google Colaboratory, Google Cloud) for CNN’s training ✅Strong foundations in Linear Algebra, Probability, and Statistics ✅Experienced use of GitHub, JIRA, and Asana. Familiar with Agile methodologies, sprints and daily stand-up meetings. ✅Strong knowledge of Data Structures and Algorithms, Analysis of Algorithms. ✅Ability to apply analytical and problem-solving skills. ✅Excellent communication and teamwork skills. ✅Strong programming skills in Python. ✅Able to cope with new Challenges. • • • • GET IN TOUCH • • • • Feel free to send me a message or an invitation if you would like to discuss your next project. I look forward to working with you! Best Regards M Shahbaz.
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