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

Machine Learning, Computer Vision, Java, Tensorflow, Numpy, Python, Scipy, Spark MLLib, Large Language Models, scikit-learn, neural deep learning methods, R, MxNet

Scipy, Java, Tensorflow, Numpy, Python, Computer Vision, C++, scikit-learn, MxNet, R, Spark MLLib, Machine Learning Models, Synthetic Data Generation, Vision Language Models, Video Summarization, Video Search, Neural Deep Learning Methods

Natural Language Processing, Deep Learning, Python, Scala, Machine Learning, Search Technologies, Retrieval Augmented Generation, Large Language Models, reinforcement learning, Go, Embeddings

Java, Agile, Scrum, Computer Vision, media streaming, real-time communication

Java, Scipy, Hadoop, C++, Tensorflow, Numpy, Machine Learning, Spark, Python, scikit-learn, MLLib, MxNet, Neural deep learning methods, R

Cloud Infrastructure (AWS), Large Language Models (LLMs), Machine Learning, Tensorflow, Numpy, Python, Java, Scipy, Hadoop, C++, Deep Learning, Spark, scikit-learn, Distributed Training, MLLib, Ranking Algorithms, Neural Network Architectures, Deep Learning Frameworks, R, Query Understanding, Large-Scale Vector Search, Search Retrieval, Inference Optimization, MxNet, Embedding Systems