Wajid A.

I am an experienced Senior Data Scientist and Machine Learning Engineer with over 7 years of expertise. I have a strong grasp of both the theory and practical applications of machine learning. My project portfolio includes a variety of tasks, such as computer vision and natural language processing using deep learning techniques, as well as simpler machine learning tasks. I have successfully implemented various algorithms in these projects, showcasing my proficiency in the field. ➝ Deep Learning ✅ LLMs: GPT3.5/4, GPT4All, RedPajama,AutoGPT ✅Fine Tuning: Prompt Tuning, Fine Tuning Model, RLHF ✅ LangChain ✅ AutoGPT ✅ AgentGPT ✅ BabyAGI ✅ ChatGPT ✅ GPT3 ✅ GPT4 ✅ LangChain ✅ DALLE ✅ MidJourney ✅ Convolutional Neural Network (CNN) ✅ Recurrent Neural Network (RNN) ✅ Long Short-Term Memory Network (LSTM) ✅ Auto-Encoder ✅ Generative Adversarial Network (GAN) ✅ BERT ✅ GPT-3 ✅ DALL-E ✅ Transformers ➝ Regression ✅ Linear Regression ✅ Logistic Regression ✅ Ridge Regression ✅ Multi-Output Regression ✅ LASSO ➝ Tree Based ✅ CART ✅ CHAID ✅ Decision Tree ➝ Ensemble ✅ Bootstrap Aggregation ✅ AdaBoost ✅ Stacking ✅ Gradient Boosting Machines ✅ Random Forest ✅ XGBoost ✅ LightGBM ➝ Bayesian ✅ Naïve Bayes ✅ Gaussian Naïve Bayes ➝ Clustering ✅ K Means ✅ Hierarchical Clustering ✅ Expectation Maximisation ➝ Dimensionality Reduction ✅ Principal Component Analysis (PCA) ✅ Linear Discriminant Analysis (LDA) ✅ t-Distributed Stochastic Neighbour Embedding (t-SNE) I am an expert with the following Machine Learning frameworks and languages: → Frameworks ✅ PyTorch ✅ TensorFlow ✅ Keras ✅ Scikit-Learn ☑️ AWS ✅ Caffe → Languages ✅ Python ✅ R ✅ C++ ✅ MATLAB