containerization , Tensorflow, Azure ML, MLops, Pytorch, Python, Prompt engineering, GenAI Agentic frameworks, GCP Vertex AI, Autonomous agents orchestration, AWS SageMaker, RAG pipelines, Multi-agent systems

Github, Odata, Data Factory, Ssrs, Power Bi, Visual Studio, Azure Logic Apps, Python, Aif, D365 Extension framework, D365 F O implementations, SOAP APIs, CI CD, DevOps pipelines, D365 F O technical architecture, Service Bus, Microsoft Fabric, DMF

Pyspark, Deep Learning, Tensorflow, Sklearn, Numpy, Pandas, Gcp, Keras, Python, Statistical Analysis, Computer Vision, R

model selection , Python, Neural Networks, Clustering, 5G NR Core stack, RAG systems, CNNs, Supervised Classification, LangGraph, Time-Series Forecasting, Data pipelines, CrewAI, LSTMs, TFT, Root Cause Analysis, n8n, AI-native 6G architectures, Regression, GNNs, Transformers, Deep Reinforcement Learning, Knowledge Graphs, Model evaluation, Unsupervised Anomaly Detection

prophet , Kafka, Tensorflow, Numpy, Pytorch, Pandas, Kinesis, XGBoost, Arima, Spark, Python, Transformer-based, LSTM, SARIMA, Scikit-learn, GRU

Unix, Front End, Linux, Unit Testing, Automation, Sql, Python, Backend, Analytical, Computer Science

Ms Excel, Power Bi, Natural Language Processing, Neural Networks, Clustering, Python, Forecasting, Regression, Dimensionality Reduction Techniques, Time series Forecasting, Ensemble Modelling, Classification

Ml, MLops, Gcp, Azure, AWS, GenAI, Langchain, LLMs, HuggingFace, Ai, vector databases, OpenAI, cloud-native services