Apis, REST, Python, scalable services, Search Engines, data processing pipelines, ANN indexes, vector databases, hybrid retrieval, information retrieval fundamentals, lexical search, GRPC, BM25, LLM RAG development, evaluation methods for retrieval, metadata design, retrieval concepts

Data Integration, Keras, API design, Tensorflow, Devops, Postgres, Linux, Nltk, AWS, Pytorch, Mssql, Kubernetes, Python, Azure, Gcp, Docker, test automation, Nlp, Redshift, GenAI, LLMs, spaCy

FastAPI, Python, Docker, Jenkins, Nlp, Object Oriented Programming, Llm, AWS AI Services, NLU, Generative AI

Azure ML, MLops, Sql, Python, GCP Vertex AI, LLMOps, GCP AI Platform, AWS SageMaker, Kubeflow, MLflow, Graph Query Languages

Python, Azure ML Studio, Aiml, Ci/Cd, Data Bricks

containerization , Python, Kubernetes, MLops, Security best practices, Monitoring and observability, Infrastructure as Code

Spark, Python, Kubernetes, Github, Gcp, Docker, Apis, Vector Databases

Tensorflow, Spark, Kafka, Machine Learning, MLops, Deep Learning, Pytorch, Kubernetes, Python, XGBoost, Docker, Nlp, scikit-learn, ONNX, Airflow, MLflow, AI model optimization, anomaly detection, time series forecasting, Cv, Recommendation systems, TensorFlow Serving