Git, Gcp, Azure, Aws

Tensorflow, Image Processing, MLops, Ocr, AWS, Pytorch, Python, Kubernetes, Computer Vision, model evaluation, EKS, document AI, scalable inference, model deployment, GPU-based training, spatial AI

Java, Saas, Typescript, AWS, Python, Azure, Gcp, LangChain, MCP servers, Go, Cloud-native distributed systems, Event-driven architectures, AutoGen, CrewAI, Agentic AI, AI coding tools, LangGraph

Java, Predictive Analytics, Vue, React, AWS, Angular, Node.js, Python, Azure, Gcp, Computer Vision, Nlp, Go, EKS, LLMs, Milvus, LlamaIndex, vector databases, AI applications, Weaviate, LangChain, pgvector, Pinecone

.Net Core, Sql, API design, Ml, Java, Typescript, AWS, Python, Azure, Terraform, GenAI, GitHub Actions, GraphRAG, GitLab CI, cloud-native applications, Ai, context engineering, No-SQL, RAG, LLM orchestration, Claude Code

event-driven architectures (Kafka or similar), Azure), cloud-native experience (GCP, Performance Tuning, concurrency, Spring Boot, Microservices, Reactjs, Rest Apis, Python, LLMs, Micro Frontends, GenAI systems, large-scale distributed systems, Agent frameworks and orchestration, Java ecosystem, Embeddings and vector databases, RAG architectures

event-driven architectures (Kafka or similar, cloud-native experience (GCP, Spring Boot, Microservices, concurrency, Reactjs, Performance Tuning, Rest Apis, Python, Azure, Java ecosystem, LLM-driven capabilities, Micro Frontends, GenAI architecture patterns, Embeddings and vector databases, RAG architectures, Agent frameworks and orchestration

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, live traffic sampling, real-time performance monitoring, offline test sets, caching strategies, model serving infrastructure, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, observability tooling, evaluation and quality assurance infrastructure, large-scale AI platform engineering, intelligent query classification

Java, API Design, Distributed Systems, Docker, Terraform, Kubernetes, Python, Infrastructure as Code, Production Operations, Software Engineering Best Practices, Cloud-native Architectures

Kubernetes, Python, Devops, Docker, Jenkins, Git, AgenticAI frameworks, CI CD tools, R, AI ML engineering