u/Defiant_Post8915

by ML engineering I mean these

Dataset, Features, Labels, Targets, Training, Inference, Model, Epoch, Batch, Loss Function, Gradient Descent, Overfitting, U Reinforcement Learning, Linear Regression, Logistic Regression, Decision Trees, Random Forest, Neural Networks, Transformers, LLMs, Tokens, Prompt Engineering, Fine-Tuning, Embeddings, RAG, Vector Databases, CNNs, RNNs, Attention Mechanism, NLP, Computer Vision, MLOps, NumPy, pandas, Matplotlib, Scikitlearn, PyTorch, TensorFlow, Jupyter Notebook, APIs, Backend, Deployment, Docker, Cloud Computing, GPUs,

Preferably someone (girls) who's quite serious and studious like me, into hackathons and up for grinding most of the time

if interested feel free to dm