Python, production deployment and monitoring of AI ML solutions, multi-step agent workflows, prompt engineering, RAG architectures

cloud platform , Google Big Data, Artificial Intelligence - BASIC, Machine Learning, Gcp, Technology, AI-Generative AI, AI-Data science

BigQuery, Sql, MLops, Python, Power Bi, Generative AI, BigQuery ML, Vertex AI, LangChain, Looker

Deduplication, Git, Pytorch, Linux, Python, dataset quality, Data Processing, machine learning pipelines, Hugging Face, LLM prompting, data leakage prevention, structured outputs, LLM fine-tuning, experiment configurations, retrieval, GPU environments, Annotation

Data Modeling, Sql, Django, Git, React, Gcp, Docker, Flask, FastAPI, NextJs, Azure, Python, AWS, data lakes, backend APIs, scalable system design, machine learning model integration, ETL processes

LLMs, LoRA, Quantization, Responsible AI, GPT-4, Azure OpenAI, AI Workflow Orchestration, AI Agents

BigQuery, Functions, Cloud Storage, Gcp, FastAPI, Python, LangChain, CrewAI, embeddings, prompt engineering, LangGraph, vector stores, Cloud Run, Vertex AI, RAG, semantic search

Numpy, Pandas, Python, Data Analysis, Statistical Modeling, Forecasting, decision-support systems, anomaly detection, time-series analysis, machine learning techniques

Numpy, Git, Pandas, Databricks, Python, Sql, scikit-learn, AWS SageMaker, Vector databases, Similarity search concepts, NoSQL databases, Jupyter, Generative AI models