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

Machine Learning, Cloud Azure, Deep Learning, Tensorflow, Numpy, Pandas, Software Engineering, Pytorch, MLops, Keras, Python, Generative AI, scikit-learn, Data SQL

Data preprocessing and feature engineering techniques

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

Machine Learning, Python, LangChain framework

Machine Learning, Deep Learning, Pytorch, Docker, FastAPI, Python, AWS, LangChain, Generative AI, LLMs, AI Agents, Hugging Face, LangGraph, Vector Databases, Embeddings, RAG, LlamaIndex, Prompt Engineering

Sql, Tensorflow, Pandas, Grafana, Kafka, Pytorch, Git, PostgreSQL, Numpy, Prometheus, Kubernetes, Python, Docker, scikit-learn, EKS, Airflow, feature engineering, Argo Workflows, anomaly detection, time-series analysis, GitHub Actions, TimescaleDB, MLflow, Kubeflow, Forecasting

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

Git, Pytorch, Tensorflow, Python, Docker, Machine Learning Algorithms, Opencv, Linux