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

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

Java, Sql, Docker, Python, Kubernetes, Nosql, embeddings, AI orchestration frameworks, LLMs, Go, vector databases

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

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

Prometheus, Grafana, Tensorflow, Pytorch, Hl7, Azure, Python, CrewAI, LangChain, ICD-10, Model registries, GPU-optimized runtimes, Container orchestration, Hugging Face, Multimodal AI systems, snomed, FHIR, Infrastructure-as-code, LangGraph, Langfuse, MLOps frameworks, Agentic frameworks

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

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

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