natural language processing (NLP), Scipy, Java, Machine Learning, Hadoop, Deep Learning, Personalization, Numpy, Spark, Python, C++, Tensorflow, scikit-learn, MLLib, MxNet, recommendation systems, R, A/B experiments, Generative AI, Data Analysis, ML pipelines, neural deep learning methods

Scipy, Java, Machine Learning, Hadoop, Natural Language Processing, Tensorflow, Personalization, Deep Learning, Numpy, Spark, Python, scikit-learn, MxNet, MLLib, recommendation systems, R

causal inference , Scala, Python, similarity graph linkage, anomaly detection, query-distribution analysis, cross-account signals, sequence modeling, R, adversarial testing, embedding methods, feature engineering, Experimental Design, operating-point selection, applicant-risk models, identity-clustering models, model calibration, behavioral detection

computational complexity , Machine Learning, Pattern Recognition, Algorithm Design, Image Processing, Data structures, Data mining, Deep Learning, Statistical Algorithms, Nlp, Computer Vision, GenAI, Multi-label classification, Multi-task learning, Text processing, Llm, anomaly detection, Multi-modal understanding, Aspect and topic extraction