Google Cloud Platform (GCP), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Agent Development Kits (ADKs), Sql, MLops, Python, LangChain, embeddings, SLM APIs, LangGraph, AutoGen, Vertex AI, IBM WatsonX, OpenAI, LlamaIndex, CI/CD for ML

Deep Learning, Neural Networks, Image Processing, Virtual Agents, Design and implement scalable and efficient AI solutions, Chatbots, Natural language processing techniques and tools, AI frameworks and libraries such as TensorFlow or PyTorch

BigQuery, Gcp, DataFlow, Sql, Python, Airflow, Dataform

Sql, Gcp, MLops, FastAPI, Azure, Python, AWS, embeddings, vector search, Generative AI, Langchain, NoSQL databases, vector databases, prompt engineering, LangGraph, LLM APIs, RAG

Sql, AWS, Python, Azure, Gcp, embedding techniques, LLMs, RAG, LangChain

Pytest, Data Modeling, Rest Apis, Python, Sql, Microservices, Data processing libraries, Git-based development, Test automation frameworks

Java, Github, Golang, React, Javascript, JIRA, Kubernetes, Sql, Google Cloud, AI assisted coding

Grafana, Jwt, Django, Angular, MySQL, Restful Services, Gcp, Git, Flask, PostgreSQL, Sqlalchemy, Javascript, Datadog, AWS, Integration Testing, Prometheus, FastAPI, Python, Azure, Jenkins, Oauth2, MongoDB, GitLab CI, Django ORM, CircleCI