Machine Learning, Pandas, Docker, Spark, Sql, Python, Kubernetes, Generative AI, LLM technologies

Jax, Tensorflow, Pytorch, Python, Stable Baselines3, MuJoCo, DQN, Ray RLlib, CleanRL, Gymnasium, ppo, actor-critic methods, SAC, reward shaping

Java, Microservices, MLops, Docker, Databricks, Rest Apis, Kubernetes, Python, MLflow, GenAIOps, SageMaker, Kubeflow

Data Science, Predictive Modeling, Eda, Python, Omics, R, Geonomics, Clinical Analysis

Pyspark, Tensorflow, Numpy, Git, Pandas, Pytorch, XGBoost, Keras, Python, scikit-learn, LightGBM, TensorFlow Serving, TensorRT, MLflow, ONNX, Kubeflow, TorchServe, AWS ML pipelines, CatBoost

Pandas, XGBoost, Spark, Databricks, Python, SHAP, scikit-learn, LightGBM, MLflow, model observability, LIME, Delta Lake, explainability frameworks, drift detection

Excel, Python, ML algorithms, ML models

Java, Python, Scala, Deployment practices, ML lifecycle

Java, Python, Scala, Deployment practices, ML lifecycle

Arm, Sql, MLops, Terraform, Microsoft Azure, Azure Machine Learning, Python, Infrastructure as Code, ServiceNow AI ML, Virtual Agent, API-based integrations, Azure OpenAI, Kore.ai XO Platform, Azure AI Services, CI CD pipelines, Predictive Intelligence, Bicep