Rust, Cuda, Pytorch, Spark, Kubernetes, Python, TensorRT-LLM, DeepSpeed, memory IO optimization, GKE, GPU kernel tuning, Go, Ray, Flink, speculative decoding, SGLang, vLLM, Megatron, inference optimization, FSDP, KV-cache, quantization

BigQuery, Neural Networks, Deep Learning, Tensorflow, Cloud Storage, Nlp, Git, Pytorch, MLops, Docker, Keras, DataFlow, Python, Computer Vision, Agentic AI frameworks, LLMOps, API-based deployments

data engineering , Cloud Computing, Machine Learning, Big Data, Python, Deep Learning, Api Development, DevOps Practices, Project Management, Model Deployment

Functions, Python, React Next.js, RAG pipelines, Application Insights, AKS, Java Spring Boot, Cognitive Services, Azure OpenAI, Azure App Service

Pytest, Postman, Python, Selenium, LangSmith, DeepEval, dbt tests, Great Expectations, RAGAS, data quality tools, Promptfoo, LLM evaluation frameworks

Python, CrewAI, Machine learning model training, LangChain, Agentic systems, LangGraph, Multimodal AI systems

Gcp, Sql, AWS, Java, Kubernetes, Nosql, Python, Azure, Docker, Typescript, Javascript, Generative AI

MLops, Gcp, Neo4j, PostgreSQL, AWS, Python, Azure, Rdf, Apis, LangChain, LlamaIndex, cloud platforms, Weaviate, pgvector, GenAIOps, Pinecone, LLM-driven applications, LangGraph, RAG pipelines, architecture standards, Milvus, knowledge graph systems, benchmark model performance, vector databases, knowledge-grounding frameworks, GenAI microservices, Chroma, prompt engineering, Transformers

Performance Monitoring, Python, Agentic AI systems, Data ML libraries, Generative AI, LLMs, RAG vector databases, Multi-agent systems

Unix, Maven, Spring Boot, Docker, Java, Jira, Jenkins, Dashboards, Git, Linux, Rest Apis, Devops Tools, Spring Framework, Kubernetes, SQL optimization, cloud-native deployment models, AI technologies, LangGraph, Vector Databases, enterprise data integration, Oracle databases, platform observability, RAG architectures, operational metrics, LangChain, monitoring solutions, ETL frameworks, MCP, Prompt Engineering