Ml, Machine Learning, Cpu, Gpu, Deep Learning, Recommender Systems, Computer Vision, Bayesian models, LLMs, generative AI, event driven architecture, Optimization, Statistics, statistical modelling techniques, deep neural networks

causal inference , Databricks, Clustering, Pandas, Regression Analysis, Numpy, Python, Hypothesis Testing, Scipy, Bayesian Methods, scikit-learn, statistical methodology, stats models, Survival Analysis, Experimental Design, Simulation, time-series analysis

Deep Learning, Sql, Tensorflow, Pytorch, Python, LLMs, long-term reward modeling, transformer architectures, ranking, multi-task learning, content-based techniques, collaborative filtering, candidate generation, hybrid approaches, embedding techniques, transfer learning, reinforcement learning, recommendation system algorithms, slate optimization, RLHF reward modeling, Experimental Design, bandits