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

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