Java, Restful Apis, Kubernetes, Python, Sql, agentic AI, NoSQL databases, AI productivity tools, Go, large language models, AI ML technologies

Machine Learning, Cassandra, Kafka, Tensorflow, Pytorch, Docker, Spark, Search Engines, LLMs, K8S, vector databases, deep-learning algorithms, big data frameworks

quantitative analytics , Java, DevSecOps, Devops, Typescript, AWS, Version Control, Kubernetes, Python, Azure, Gcp, Docker, Git, Javascript, Cloud environments, LLMs, infrastructure-as-code, SDLC understanding, Go, observability platforms, Data Interpretation, IDES, MCP Infrastructure requirements, AI-first engineering practices

Graphql, Java, Sap Hana, Python, PostgreSQL, Databases, messaging systems, Go, AI ML techniques, CI CD testing practices, distributed systems technologies, cloud-native architectures, LangGraph, RPC frameworks

Java, Vue, Angular, React, Typescript, Gcp, Javascript, Docker, Azure, Kubernetes, Python, AWS, LangChain, pgvector, Go, Pinecone, Milvus, Weaviate, LlamaIndex

Cursor, Vercel, Typescript, Azure, Python, AWS, Anthropic Claude, LangChain, Hugging Face, Codeium, GitHub CoPilot, Aider, AutoGen, Langgraph, Llama, LiteLLM, Pydantic, AI ML and Gen AI applications, Cline, LlamaIndex, SemanticKernel

containerization , Distributed Systems, Coding Skills, Kubernetes, Microservices, infrastructure as code, observability

Java, Ml, Devops, Gcp, Python, AWS, generative AI, Go, Ai, Security, infrastructure as code, observability