Java, Scikit Learn, Hadoop Ecosystem, Kafka, Hive, XGBoost, Shell scripting, Spark, Python, Real-time data processing systems, Data ingestion transformation frameworks, ML model operationalization, Flink, Iceberg, Performance tuning on Hadoop platforms, Spark MLlib, Trino, NiFi, Cloudera Machine Learning

Java, Tensorflow, Pytorch, Python, LangChain, TensorRT-LLM, scikit-learn, vLLM, AutoGen, LangGraph, big data processing, LlamaIndex, GPU architecture, ETL pipelines

Java, Ranger, Hadoop, Kafka, React, Hive, XGBoost, Spark, Shell scripting, Flask, Python, MLlib, Flink, Ozone, Iceberg, Trino, Nifi, Cloudera Machine Learning

Java, Apache Flink, Hadoop Ecosystem, Apache Spark, Apache Nifi, shell scripting, XGBoost, Apache Kafka, Python, Apache Hive, Apache Iceberg, scikit-learn, Spark MLlib

Java, Tensorflow, Pytorch, Python, big data processing, TensorRT-LLM, vLLM, LlamaIndex, ETL pipelines, scikit-learn, GenAI applications, AutoGen, LangChain, GPU architecture, LangGraph

Pytorch, RISC-V ISA, MLIR, TVM, neural network architectures, ML compilers, TensorFlow Lite, ONNX Runtime, on-device inference toolchain development, AI ML algorithms, quantization, model optimization

Java, Hadoop, Scala, Devops, Spark, Python, Etl, ML algorithms, data management technology, Relational Databases, cloud-based AI platforms, non-relational databases

Cloud Infrastructure, Machine Learning, AI-based products, Open-source codebases, Fine Tuning LLMs, GenAI applications