object detection , Deep Learning, Tensorflow, Git, Pytorch, MLops, Opencv, Image Processing, Keras, Python, Computer Vision, Performance Optimization, Transfer Learning, image segmentation, Model Fine-Tuning, ML Model Evaluation, Image Classification

Natural Language Processing, UNIX, Deep Learning, Tensorflow, Pytorch, MLops, Linux, Databricks, Python, Computer Vision, AI security compliance, RNNs, Azure cloud ecosystem, transfer learning, prompt engineering, LangGraph, transformer architectures

Power Bi, Pyspark, Sql, Nlp, Machine Learning, Siem, Databricks, Python, AWS, GenAI, SOAR, Statistical Modeling, Graph analytics

BigQuery, Machine Learning, Predictive Analytics, Sql, Azure Data Factory, Gcp, Databricks, Azure Machine Learning, Azure, Python, customer analytics, Vertex AI, Statistical Modeling

Github, Machine Learning, Databricks, Sdtm, Python, Sql, Deep Learning, R, cdisc, Statistical Modeling, ADAM

Gcp, Apis, Azure, Python, AWS, Agentic AI, modern orchestration frameworks, vector databases, Prompt Engineering

unstructured data , Tensorflow, Nlp, Pytorch, Python, AWS, Testing, MLops, Keras, Azure, embeddings, knowledge graphs, vector databases, graph-based reasoning, structured data, model validation, model risk management, explainability, LLMs, LLMOps, Scikit-learn, Monitoring, prompt engineering, feature engineering, Responsible AI

graph databases , Tensorflow, Nlp, Pytorch, Neo4j, Python, AWS, Advanced Analytics, Machine Learning, MLops, Keras, Azure, embeddings, knowledge graphs, model versioning, vector databases, model lifecycle management, semantic search, experiment tracking, LLMs, generative AI, LLMOps, Scikit-learn, DGL, prompt engineering, RAG, Production Monitoring