software engineering practices , data preparation , model development , Machine Learning, MLops, Python, Sql, Feature Engineering, Ai

Machine Learning, Artificial Intelligence, Scala, Deep Learning, Tensorflow, Pytorch, Spark, Information Retrieval, Python, Sequence Modelling, Representation Learning, User Modelling, Recommendation Systems, Transformers

online learning , Pytorch, Tensorflow, Python, Model-Based RL, Offline RL Simulation, State-Space Models, RNNs, Supervised Fine-Tuning, Representation Learning, Latent Dynamic Models, Transformers

constrained optimization , Sql, Python, difference-in-differences, MILP, Lagrangian methods, holdouts, causal modeling, quasi-experiment design, synthetic control, debiasing observational data, variance reduction, experiment design, uplift modeling, heterogeneous treatment effect estimation, budget-constrained allocation, geo switchback tests

, MLops, Cloud Architecture, Software Development, Machine Learning, Open Source Libraries, Ai