model selection , Machine Learning, MLops, Python, Statistical Analysis, Deep Learning, anomaly detection, Forecasting, Feature Engineering, Hyperparameter Tuning

BigQuery, Machine Learning, Natural Language Processing, Deep Learning, Tensorflow, MLops, Docker, XGBoost, Flask, Keras, Python, Scikit-learn, GCP Vertex AI, Gemini, CatBoost

scalable architecture , Ml, PostgreSQL, Microservices, Docker, Rest Apis, Python, AWS, LLMs, backend API development, event-driven pipelines, prompt engineering, GenAI applications, RAG, SQL databases

Cloud Infrastructure, Kubernetes, Python, regression suites, LLMs, evaluation frameworks, observability tooling

data strategies , Machine Learning, fine-tuning, AI research, training methodologies, data annotation, AI quality assurance, LLM evaluation

Machine Learning, Git, Docker, Azure Machine Learning, Python, LangChain, Watson Studio, Amazon SageMaker, WatsonX

vectors , Restful Apis, API design, Java, Python, Graphql, Google Cloud Platform, Knowledge graph, custom connectors, Vertex AI, Oauth Flows, MCP connections, Go, Indexing, GRPC, observability tools, RAG, Embeddings, Agentic AI, Generative AI

Software Engineering, Docker, Distributed Systems, Machine Learning, MLops, Generative AI, MLflow, Drift Detection, API based services, Data Validation, ML Observability Tooling

Python, Kubernetes, Github, MLOps framework, Big Query SQL, Vertex AI, Airflow, Kubeflow, Docker-Container, GCP Services