S3, Machine Learning, Pytorch, Docker, Sqlite, XGBoost, Postgres, Python, AWS, Matplotlib, Sql, Jenkins, Pandas, Information Retrieval, ML Pipelines, HuggingFace, LabelBox, OpenSearch, MosaicML, LightGBM, Amazon EKS, Scikit-learn, DVC, Transformers, NVIDIA NeMo, Jupyter

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

Machine Learning, Computer Vision, Deep Learning, Multimodal Learning, Generative Modeling, Representation Learning, Statistical Modeling, reinforcement learning, Large Language Models

Machine Learning, data mining, Deep Learning, Tensorflow, MLops, Gcp, Pytorch, Databricks, Azure, Python, AWS, scikit-learn, data processing transformation tools, cloud environments, Optimization, big data infrastructures, CI CD for ML monitoring

snowflake , Github, Cursor, Deep Learning, Tensorflow, MLops, Pytorch, Spark, Gitlab, Azure, Python, AWS, LangChain, CrewAI, LLMOps, Claude, AI Cloud architectures, Autogen, Agentic AI, Code Codex, Agentic Coding Frameworks

Deep Learning, Databricks, Tensorflow, MLops, Machine Learning, AWS, Pytorch, data mining, Python, Azure, Gcp, cloud environments, scikit-learn, CI CD for ML monitoring, Optimization, big data infrastructures

Machine Learning, Sql, Spark, Python, Neural architectures, ML libraries, Regression, Gradient-boosted trees, ranking, Classification, Causal reasoning, Evaluation frameworks

Tensorflow, Machine Learning, Pytorch, Opencv, Ocr, Python, Computer Vision, Deep Learning, GenAI, LLMs, PIL

Pyspark, Clustering, Pandas, Azure Synapse Analytics, XGBoost, Spark, Rest Apis, Azure Machine Learning, Python, Validation, Feature Engineering, LightGBM, Scikit-learn, Model Evaluation, Regression, Feature Selection, Time Series Forecasting, Classification, Model Performance Monitoring