Pytorch, Python, Weights Biases, DeepSpeed, MLflow, CNNs, DDP, DVC, variational inference, distributed training frameworks, probabilistic ML, MLOps tooling, information theory, ViTs, FSDP, diffusion models

Java, Machine Learning, Jax, Deep Learning, Tensorflow, Pytorch, Python, diffusion, Transformers, LLMs, generative AI, Go, ML frameworks

Databases, Java, Graphql, PostgreSQL, Sap Hana, Python, distributed systems technologies, CI CD testing practices, messaging systems, AI ML techniques, Go, LangGraph, RPC frameworks, cloud-native architectures

data engineering , Machine Learning, Sql, Deep Learning, Tensorflow, MLops, Pytorch, Data Analytics, Python, Computer Vision, GenAI, CNNs, Transformer-based architectures

snowflake , Machine Learning, Kafka, Sql, Data Science, MLops, Spark, Databricks, Python, Probabilistic modeling, Airflow, Generative AI, LLMs, Feature engineering, Transformers, Tree-based models

triton , Apis, Testing, Pytorch, Distributed Systems, Debugging, Kubernetes, Python, AWS, TensorRT, vLLM, inference optimization techniques, ML systems

Java, Machine Learning, Tensorflow, Pytorch, Python, Large-scale ML systems, Agentic Systems, Diagnostics, Knowledge retrieval, Model versioning, Model training, Feature engineering, Data pipelines, Distributed training, Inference optimizations, Monitoring

Java, Machine Learning, Hadoop, Scala, Kafka, Sql, Nosql, Tensorflow, Pytorch, Gcp, Docker, Spark, Azure, Kubernetes, Python, AWS, scikit-learn

API design, Gcp, Pytorch, Python development, Azure, AWS, LangChain, GenAI LLMs, Cloud platforms, embedding models, LLM development and fine-tuning, Production ML deployment and monitoring, GPT models, Transformers, Modern AI frameworks

bedrock , Java, Cassandra, Scala, Kafka, API design, Tensorflow, Git, Pytorch, Spark, MongoDB, Kubernetes, Python, AWS, Data Privacy handling, Generative AI, EKS, SageMaker, Security Authentication and Authorization methods, Spark ML