Azure ML, Docker, Pyspark, Sonarqube, Microsoft Azure, Databricks, GitHub Actions

Deep Learning, Nlp, Pytorch, Python, AWS, Gcp, Spark, Azure, Kubernetes, embeddings, inference, Video, end-to-end ML systems, Llm, VLM, training pipelines, fine-tuning, generative AI, cloud platforms, Vision, RAG, Production Monitoring, feature engineering, distributed data processing

data engineering , probabilistic models , Sql, Deep Learning, Tensorflow, Pytorch, XGBoost, Python, LSTMs, scikit-learn, tree ensembles, LightGBM, time-series forecasting, CNNs, Transformers, CatBoost

Tensorflow, Pytorch, Azure, Python, Sql, Google Cloud, AWS, Scikit-learn

Machine Learning, Tensorflow, Pytorch, Docker, Python, AWS, Sql, Deep Learning, Gcp, Azure, Kubernetes, pgvector, Qdrant, MLflow, Pinecone, CI CD, LangGraph, Vector Databases, OpenTelemetry, semantic search, Langfuse, AI Evaluation Monitoring, LangChain, LLMs, Scikit-learn, RAG, Data Analysis, Weaviate, Prompt Engineering, LlamaIndex

.Net Core, Lucene, microservice architecture, Docker, Design Patterns, Elastic Search, Sql Database, Azure, Kubernetes, Test-driven development, GRPC, object-oriented methodologies

Matplotlib, Power Bi, Tableau, Sql, Google Cloud, Tensorflow, Numpy, Git, Pytorch, Pandas, Seaborn, Keras, Azure, Python, AWS, Plotly, Scikit-learn

S3, Cloudformation, PostgreSQL, Dynamodb, Lambda, Cloudwatch, Pytorch, Docker, Terraform, ECS, Python, LangChain, Step Functions, pgvector, Hugging Face, MLflow, OpenSearch, Aurora, SageMaker, Fargate, spaCy, ML pipelines, Textract

triton , Pytorch, Docker, FastAPI, Restful Apis, Kubernetes, Python, Sagemaker, document databases, TensorRT, ML technologies

Git, Docker, Machine Learning Algorithms, Python, Sql, Feature engineering, Model evaluation