Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Java, Sql, Tensorflow, Pytorch, MLops, Predictive Modeling, XGBoost, Clustering, Python, embeddings, Scikit-learn, Go, Forecasting, vector databases, Classification, recommendation systems, CI/CD, Fraud Detection, ranking

Java, Tensorflow, Machine Learning, Pytorch, Python, Cloud Platforms, R, AI Systems, scikit-learn

Machine Learning, Kafka, Tensorflow, Data Science, Nlp, Pytorch, Docker, Python, C++, Apache Spark, Software Engineering, Time Series Analysis, FastAPI, Kubernetes, Go, Flink, GRPC, LLMS RAG pipelines, CI/CD for ML, LangChain, Forecasting, Triton Inference Server, Vector databases, anomaly detection

Java, PostgreSQL, Kafka, Python, Microservices, Kubernetes, AWS cloud infrastructure, event-driven architectures, Vector DBs

Machine Learning, Google Cloud Platform, Cloud Engineering, Microsoft Azure, Python, AWS, Data-Intensive Systems, Streaming Pipelines, Production AI ML Architecture, Statistical Machine Learning Algorithms, Real-Time Inference Systems, Vector Databases, AI Techniques, Transformer Architectures, LLM Orchestration, Embedding Models, Large Language Models

Java, Databases, C#, Rust, C, C++, concurrency, Javascript, Distributed Systems, data structures, Python, query execution, Indexing, platform product areas, distributed algorithms, analytics systems

Java, Scala, Tensorflow, Pytorch, Docker, Spark, Databricks, Azure Machine Learning, Python, Kubernetes, LLMs, Go, AWS SageMaker, CI CD pipelines, Google Vertex AI, MLOps tools, infrastructure as code, AI ML frameworks

Jenkins, Git, Java J2ee, Confluence, Aws Cloud, CI CD Pipelines, Streaming and Messaging technologies, Authentication frameworks, Testing Tools like Karate, ALM tools like JIRA, Blockchain related technologies