RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), Machine Learning, Deep Learning, Docker, Flask, FastAPI, Azure, Python, AWS, LangChain, Generative AI, LangGraph, Model Retraining, Vector Databases, R, Agentic AI, Time Series Forecasting, Multi-Agent Systems, Model Monitoring, Production Model Deployment, CI/CD

voice biometrics , BigQuery, Node.js, Python, Sentiment Analysis, Api Management, Agent Assist, Cloud Run, Vertex AI, Conversational AI, GE4CX, Google Gemini Enterprise for Customer Experience, CX Insights, multi-turn multimodal agents, LLM fine-tuning

Java, Apis, PostgreSQL, Docker, MySQL, MongoDB, Oracle, Python, Kubernetes, Prompt engineering, Vector databases, AI GenAI implementation, Enterprise integration patterns, Microservices architecture, Embeddings, Reusable frameworks, CI/CD pipelines, Shared Services, AI agents, RAG pipelines, LLM-based application development

Pytorch, Computer Vision, Tensorflow, Python, Machine Learning frameworks, GCP-Apps, NLP frameworks, Large Language Models, scikit-learn

Github, Graphql, Agile Methodologies, Firebase, Ios, Android, Git, React Native, Rest Apis, Python, cloud platforms, CI CD, AI integrations