Operating Systems, AI ML, Tensorflow, Pytorch, Distributed Systems, Computer Architecture, networking fundamentals, simulation frameworks, AI accelerators, interconnect and memory technologies, collective communication algorithms, distributed training frameworks, memory disaggregation, visualization tools, profiling telemetry observability and debugging tools, large-scale AI training pipelines, topology-aware scheduling, programming skills in Python

Python, Ai, Llm, RAG, Agents

agent development , containerization , Java, Gcp, Azure, Python, AWS, Go, MCP Servers, LLM Integration, Runtime Systems, Vector Databases, NLP Frameworks, RAG Architecture, Prompt Engineering

Kafka, Typescript, AWS, Kubernetes, Python, Azure, Gcp, Apis, secure development practices, AI ML concepts, runtime policy enforcement, Go, Pub Sub, microservices architectures, semantic chunking, message buses, Streaming Data, asynchronous workflows, Distributed System Design

Elk, Prometheus, Kafka, Grafana, Datadog, Tensorflow, Pytorch, Kinesis, Docker, XGBoost, Python, Sql, Spark, Databricks, FastAPI, Kubernetes, Airflow, scikit-learn, MLflow, Feast, Prefect, OpenTelemetry, Event Hubs, LightGBM, Dagster, dbt, Tecton

Kafka, Tensorflow, Numpy, Pytorch, Docker, Python, AWS, Version Control, Gcp, Pandas, Spark, Databricks, Azure, Kubernetes, RNNs, scikit-learn, MLflow, CNNs, Kubeflow, Statistical Modeling, model registries, Big Data tools, ML algorithms, deep learning architectures, SageMaker, large-scale multimodal datasets, CI CD pipelines, Transformers, MLOps frameworks

.NET, snowflake , Newrelic, Scala, PostgreSQL, Kafka, Pulumi, Redis, Elasticsearch, Jenkins, Apache Solr, Docker, Terraform, Ansible, Microsoft Azure, Postman, Xunit, Kubernetes, Python, AWS, Launch Darkly

Python, AI ML, Sql, Llm