Distributed Systems, Python, Machine Learning Algorithms, fine-tuning, RAG vector databases, multi-agent architectures, reinforcement learning, LLM systems, agentic systems, LangGraph, AI models and frameworks, cognitive architectures, memory systems, API orchestration

Uipath, Nlp, AWS Bedrock, model training, LLM integration, Agentic Automation, ML Models, Task Mining, GenAI tooling, UiPath Autopilot, Azure AI, OpenAI, AI Center, Communication Mining, Document Understanding

Tensorflow, MLops, Pytorch, Python, Nlp, Machine Learning Algorithms, predictive insights, Q A systems, RAG pipelines, LLMs, fine-tuning LLMs, building scaling and optimizing AI systems, AI agent development, model governance, vector databases, CI CD for ML workflows, LangChain, auto-documentation, oci, HuggingFace, prompt engineering, hybrid multi-cloud architectures, Generative AI

Ml, Deep Learning, React, Nlp, Agentic Frameworks, cloud-based AI deployments, LLMs, One-shot, Few-shot, Azure AI, LangChain, AWS Bedrock, Prompt engineering

data engineering , containerization , Machine Learning, Cloud Architecture, Big Data, Api Development, Microservices, DevOps Practices, Model Deployment, Security Protocols

.NET, Generative AI / LLMs, LangGraph / Agent Orchestration, Distributed Systems, Software Architecture, System Design, Microservices, Java, Node, AI Agents, Agentic AI, MCP, Event-Driven Architecture, Legacy Application Modernization

, Ml, Data Science, Solution Architecture, Python, AI Solution Architect, Llm, Ai, AI Architect, Generative AI, AI Engineering