Node.js, Sql, Nlp, Docker, Spark, Rest Apis, Python, Kubernetes, NoSQL databases, DevOps tooling, semantic models, prompt engineering, agent-style architectures, CI/CD pipelines, LLM-based solution development, MLOps frameworks, Apache ecosystem, cloud computing platforms

Google Cloud Platform (GCP), Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Java, C++, Microsoft Azure, Python, AWS, Generative AI technologies

Tensorflow, Sql, Pytorch, Java, Python

Retrieval-Augmented Generation (RAG), Rest Apis, Microservices, Git, Docker, Elasticsearch, Python, LangChain, Anthropic Claude, vector databases, Pinecone, Azure OpenAI, LangGraph, Elastic Knowledge, Generative AI technologies, Chroma, CI/CD pipelines, FAISS, AI agents, Milvus, OpenAI, Gemini, Weaviate, Prompt Engineering

Python, Javascript, Rpa, AI Agents Development, Salesforce, Generative AI, Automation Process Optimisation, Data Analysis, Low-code no-code tools

Java, Python, Machine Learning Algorithms, R, data analysis techniques

statistical methods, model optimization, hyperparameter tuning, feature engineering, LLMs techniques, Generative AI solutions, machine learning models, advanced ML algorithms, model tuning, real-time transaction monitoring, anomaly detection algorithms, scalable ML systems

Databricks, Python, Automated Testing, Spark, Git, MLops, MLflow

React, Flask, Python, AWS, Websocket, Reflection, Graph, Gcp, Restful Apis, Asynchronous programming, Azure, advanced agent reasoning frameworks, automated reporting systems, model evaluation, Next.js, Streamlit, observability, CrewAI, Plotly, SSE, Fast API, Vega-Lite, Lang, Semantic Kernel, prompt engineering, AutoGen, LLM-based architectures, MCP-based tool integrations, AI governance

Artificial Intelligence, Python, Generative ai