AWS, Pytorch, Kubernetes, Python, Tensorflow, Docker, AI-assisted software development tools

Terraform, Sql, Sdlc, Lambda, Typescript, Kafka, React, Pandas, Nosql, ECS, Iam, S3, Microservices, Postgres, Cloud Foundry, Numpy, AWS, Python, Kubernetes, Restful Apis, Spark, EKS, Flink, Agile practices, Beam, Event-driven architecture, Aurora

Github, Jfrog Artifactory, Bash, Elasticsearch, Jenkins, Docker, Terraform, Linux, Core Java, Ansible, Influxdb, Sonarqube, Postgres, Gitlab, Puppet, Kubernetes, Python, AWS, Chef

Tomcat, Ibm Datapower, Prometheus, Spring Boot, Elk Stack, Grafana, Datadog, Terraform, Agile, Connect Direct, Python, AWS, Java, Ibm Mq, Jboss, Hazelcast, SSL, Apache, Gcp, Ansible, Sqs, Azure, observability and performance optimization techniques, Go, Flink, containerized micro-services architecture, monitoring and logging systems, distributed systems design, infrastructure-as-code tools, high-performance applications

Testing, Git, Docker, Kubernetes, LangChain, RAG systems, GenAI and Agentic AI, vector databases, embedding models, knowledge retrieval systems, prompt engineering, Crew.ai SK, Autogen, Advanced Python programming, LLM optimization techniques, async programming, RAG pipelines

Rest Api, Lambda, Git, Dynamodb, Python, Sql, AWS, Api Gateway, Microservices, Serverless

San, Nas, Unix, Pytest, File Systems, Raid, Jenkins, Perl, Linux, Python, Storage Concepts, Generative AI, LLMs, unittest, GitHub Actions, AI-driven testing