stream processing , Java, API design, Lucene, Microservices, Distributed Systems, Elasticsearch, Information Retrieval, AWS, vector search, embeddings, AI ML-powered search, multi-tenant SaaS architectures, vector databases, hybrid retrieval, query understanding, OpenSearch, query rewriting, reranking, Operational Excellence, ranking, retrieval augmentation

Pyspark, Apache Spark, Kafka, Sql, Apache Airflow, Terraform, Docker, Databricks, Data Governance, Azure, Kubernetes, Python, AWS, Infrastructure as Code

Java, Golang, Docker, LangChain, Vector Databases, Performance Profiling, Multi-cloud Data Management, AI RAG

Java, Node.js, Sql, Nosql, Devops, Gcp, Docker, Restful Apis, Azure, Kubernetes, Python, AWS, GenAI, AI-agent capabilities, microservices architecture, retrieval and semantic search

snowflake , Pyspark, Containers, Sql, MLops, Flask, Databricks, FastAPI, Azure, Python, LangChain, GenAI, LLMOps, Cloud platforms, Llm, LangGraph

Distributed Systems, Microservices, Terraform, Python, AWS, Java, Azure ML, Azure, Kubernetes, Event-Driven Architecture, Data Pipelines, Model Lifecycle Management, AI Governance, Vector Databases, Foundation Models, MLFlow, CrewAI, LangChain, LLMs, CI CD Platforms, Semantic Kernel, AutoGen, SageMaker, Agentic AI, RAG, Responsible AI, Fine-tuning, Prompt Engineering, Knowledge Graphs, LlamaIndex

vectorization , Tensorflow, Pytorch, Python, CrewAI, data preprocessing, Generative AI, Hugging Face Transformers, AI agent development, vector databases, Pinecone, LangGraph, AutoGen, FAISS, Evals, Weaviate

Python, Pytorch, API development and integration, Tensorflow, Diffusion Models, Hugging Face, Generative AI