Terraform, Incident Management, Gitlab, Artifactory, Kubernetes, AWS, Progressive Delivery, observability tooling

Matplotlib, Sql, Tensorflow, Numpy, Hive, Pytorch, MLops, Pandas, Presto, Spark, Keras, Python, Generative AI, RNNs, Scikit-learn, MLflow, CNNs, Kubeflow, Transformers

Apis, Microservices, Gcp, Distributed Systems, Azure, Kubernetes, AWS, security basics, DevOps practices, cloud-based products, observability stacks, infrastructure-as-code, container orchestration, serverless cloud platforms

Github, Release Management, Incident Response, Docker, Linux, Gitlab, Helm, Kubernetes, Reliability Engineering, Cloud-native Architecture, Infrastructure as Code, Container Registries, CI CD, Rancher, Artifact Management, Secure Software Supply-chain Practices, Observability

Machine Learning Algorithms, Python, R, Data analysis and visualization tools

Memory Management, Python, AWS, LangChain, containerized deployment, audit logging, agentic AI, explainability, RAG tool orchestration, Pinecone, LangGraph, Evaluation, structured outputs, Authorization, Chroma, Langfuse, Production Monitoring, guardrails, AI governance, cloud-native AI platforms

Hld, Solid Principles, Software Development Life Cycle, Lld, Docker, Mariadb, Agile Development Methodologies, Kubernetes, Clean Code, Code Reviews, People Management