Gcp, Azure, Python, AWS, LLM-based systems, fine-tuning, data pipelines, API-level integrations, modern backend language, Evaluation, agentic workflows, prompting, RAG

Shell, Gitlab, Kubernetes, Python, Terraform, Docker, Jenkins, Ansible, Log Management, GitHub Actions, Observability, Go

Network Security, Saml, Bash, Http, Dns, Https, Gcp, Javascript, Azure, Tls, Python, AWS, identity providers, Layer 4 networking technologies, Zero Trust principles, Proxy technologies, OIDC

object storage , Logging, Terraform, Api Gateway, AWS, Aws Lambda, Security Groups, Gcp, Waf, metrics, Kubernetes, AWS Bedrock, vector databases, Cloud Run, streaming infrastructure, Vertex AI, subnets, Cloud Functions, VPCs, GKE, cost monitoring, distributed tracing, EKS, third-party LLM APIs, zero-trust access patterns

Kafka, Sql, Google Cloud, Azure, AWS, Etl, cdc, cloud service providers, columnar systems, analytics fundamentals, observability stacks, ingestion tooling

Java, Gcp, Json, Rest Apis, Azure, Python, AWS, Linux command line, Go

Python, Pytorch, Digital Twins, AI model training, nims, RAPIDS, Omniverse, Synthetic Data Generation, Generative AI, nemo, Immersive Multimedia

Ml, MLops, Gcp, Azure, AWS, GenAI, Langchain, LLMs, HuggingFace, Ai, vector databases, OpenAI, cloud-native services

data engineering , Typescript, React, MLops, AWS, Kubernetes, Python, Azure, Gcp, Helm Charts, AI infrastructure, Airflow, MLflow, dbt, infrastructure as code