Junaid K. Email & Phone Number

As an AI Enthusiast have in hand experience in:-- Machine Learning, Deep Learning, and Statistical Learning.- Exploratory Data Analysis and Data Visualization with principal component analysis, TSNE, Data Preprocessing & Feature Engineering.- Mathematical knowledge in Optimization techniques – Gradient Decent, SGD, AdaGrad, AdaDelta, and Adam.- Linear and Nonlinear models, Bayesian theory, Recommendation systems, Data visualization.- KNN, Logistic Regression, Linear Regression, SVM, Naïve Bayes, Random Forest, Decision Tree, XGBoost, Gradient Boosting Decision Trees.- Graphs, Classification, Regression, Computer Vision and Deep Learning (MLP, CNN, RNN, LSTM – Encoder-Decoder Attention Models )Natural Language Processing Transformer (BERT, ALBERT etc. in Hugging Face).- Transfer Learning using pre-trained models like VGG16, DenseNet etc.- LLMs (Pretraining, Finetuning, Prompt-Engineering) & Vector Databases (ChromaDB, Pinecone,FAISS).- Multimodal Models (Image, Text, Audio etc.).- MLOps concepts & techniques.- LLMs frameworks e.g. LangChain.

Listed skills include Artificial Neural Networks, Artificial Intelligence, Python, Data Analysis, and 12 others.