data engineering , state management , Java, Amazon Web Services, Machine Learning, Python, Orchestration, quality evaluation, applied artificial intelligence, retrieval, tool-enabled workflow automation, re-ranking, Indexing, cloud-native services, grounding methods, embedding-based search

Retrieval-Augmented Generation (RAG), C#, Orchestration, C++, Numpy, Pytorch, Pandas, MLops, Python, Etl, Vector search, Evaluation, LangChain, Anthropic Claude, LLMOps, AI coding assistants, Agentic AI solutions, Azure OpenAI, LangGraph, Embeddings, Data pipelines, Tool calling, OpenAI-compatible APIs

Summarization, Data Enrichment, Machine Learning, Model Integration, Agent Orchestration Platforms, Context-aware Retrieval Systems, Feature Engineering, Vector Databases, Entity Extraction, Prompt Engineering, Topic Modeling

AWS, Azure, Gcp, Python, Sql, Spypark

.NET, Nosql, Nlp, Azure Functions, RDBMS, Microsoft Azure, Predictive Analytics, Dicom, Oracle, SQL Server, Hl7, MongoDB, Restful Apis, Azure Machine Learning, Computer Vision, AI Architecture Design, GenAI, FHIR, Azure OpenAI, Llm, Azure Service Bus, Astm, RAG, Azure Cosmos

Cassandra, PostgreSQL, Spring Boot, Microservices, Rest Api, Nosql, React, MySQL, Javascript, Python, AWS, Java, Sql, Figma, Gcp, MongoDB, Azure, Opik, Claude, LangGraph, Multi-Agent Systems, evals, Traces, Langsmith

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

Sales Engineer, Machine Learning, Data Science, Python, Technical customer-facing roles, Common LLM frameworks and tools, Technical Account Manager, Designing scalable cloud architectures, Integrating with enterprise systems, Solutions Architect