Sql, Deep Learning, Python, Computer Vision, Transfer Learning, TensorRT, Model Evaluation, Batching, Quantization, Attention Mechanisms, CNNs, GPU Inference, ONNX, Vision Transformers, Mixed Precision

Machine Learning, Sql, Tensorflow, Pytorch, Python, Prompt engineering, Distributed data processing, Feature engineering, Agentic AI systems, Statistical Models, LLM-powered applications, Deep learning frameworks, RAG pipelines

loss reserving , Adf, ELT, Python, Dimensional Modeling, Databricks, Etl, MLflow, vector databases, CI CD, GenAI platforms, Retrieval-Augmented Generation, document ingestion, Spark notebooks, indexing pipelines, Databricks Workflows, LLMs, Pricing Models, risk scoring, Unity Catalog, BI concepts, agentic workflows, analytics engineering, Delta Lake, claims analytics

graph databases , Tensorflow, Nlp, Pytorch, Gcp, Neo4j, Azure, Python, AWS, GenAI, LLMs, knowledge graphs, Scikit-learn, DGL, cloud AI ML services, vector stores, MLOps practices

process mining , Deep Learning, Nlp, Spark, Databricks, Python, sequence modelling, data pipelines, unsupervised ML, ML models

Sql, Deep Learning, Python, Computer Vision, Transfer Learning, TensorRT, Batching, Quantization, CNNs, GPU Inference, ONNX, Vision Transformers, Mixed Precision

Kafka, Sql, Tensorflow, Numpy, Azure ML, Pandas, Pytorch, MLops, Spark, Python, Etl, scikit-learn, GCP Vertex AI, AWS SageMaker

.NET, workflow engines , C#, concurrency, software testing, Debugging, Asynchronous programming, automation systems, fault handling, LLM integration, third-party APIs, state machines, SDKs, Production Engineering