Nlp, Docker, Python, Api Development, Sql, Deep Learning, REST, FastAPI, Kubernetes, Agentic AI architectures, RAG systems, Transformer architecture, Microservices architecture, Azure AI Foundry, Tool Calling mechanisms, LangChain, Graph DBs, Generative AI, LLMOps practices, MCP Model Context Protocol, CI CD pipelines, LLM implementation, Multi-agent systems, LlamaIndex, hyperscaler offerings

Generative AI (GenAI), GCP), Cloud platforms (AWS, Azure, Databricks, LangChain, CrewAI, NIST AI RMF, AWS Bedrock, AI governance and compliance frameworks, Ai, Anthropic, LLMOps pipelines, Microsoft RAI Maturity Model, LangGraph, AI/ML specializations, EU AI Act, RAG, ISO 42001, Multi-agent architectures, Azure AI, OpenAI

Deep Learning, Tensorflow, Nlp, MLops, Pytorch, Docker, Kubernetes, Python, Generative AI, Cloud AI ML Platforms, Model Evaluation, MLflow, reinforcement learning, Model Fine-tuning, Recommendation Systems, Vector Databases, Embeddings, Agentic AI, RAG, Statistical Modeling, Transformer Architectures

retrieval augmented generation (RAG), Java, Sql, Scalability, Docker, Distributed Systems, Fault Tolerance, Python, Kubernetes, embeddings, AI orchestration frameworks, vector search, agentic AI, LLMs, cloud native architectures, production-grade observability, Go, vector databases, semantic retrieval, NoSQL data stores, CI/CD pipelines, backend services

Sql, Python, AI LLM evaluation frameworks, GraphQL APIs, Model evaluation metrics, Data Validation

Genesys, Kafka, Rtp, Python, Websocket, Gcp, Amazon Connect, Cti, Golang, CCaaS, Event-driven systems, Data graph, Embeddings, LLM APIs, NATS, Knowledge graph, AI/ML pipelines, five9, CRM connectors, Model serving, Voice SIP, Redpanda, RAG, Fault-tolerant connector design, Nice, SIPREC

.NET, React, Microsoft Azure, Angular, LangChain, GenAI, Agentic AI workflows, LLMs, AI Engineering, RAG architectures

Unit Testing, Django, Git, Integration Testing, Flask, FastAPI, Python, Generative AI, AWS Bedrock, AWS cloud services, Hugging Face, vector databases, Anthropic, Pinecone, OpenSearch, OpenAI, semantic search

Machine Learning, multithreading, Deep Learning, Spark, Databricks, Azure queues, vector search, Document Intelligence, AI Services, Azure OpenAI language models, Advanced Python proficiency, Packaging, Azure AI Ecosystem, GPT models, Cognitive search, load testing of generative AI applications, data exploration, Document Processing, software engineering skills, building machine learning models

containerization , Python, Apis, MLops, Databricks, Kubernetes, embeddings, AI orchestration frameworks, vector databases, Azure OpenAI, CI CD, AWS AI ML services, semantic search, Large Language Models, model monitoring, RAG agentic AI systems, LLMOps, Anthropic, governance frameworks, prompt engineering, microservices architectures, Azure AI Services, knowledge retrieval, OpenAI, Gemini