Kubernetes, Sql, Java, Tableau, AWS, Kotlin, Python, Sap Business Objects, Docker, Gcp, Nlp, Spark, transformer architectures, benchmarking datasets, Go, Looker, PEFT, model alignment, LLM techniques, R-Shiny, LoRA, evaluation pipelines, Microstrategy, prompt engineering

Java, Unit Testing, Python, code tuning, core AI ML techniques and algorithms, Profiling, time and space-efficient algorithms, OOP Design Patterns

Github, Pyspark, Pandas, Docker, Powerbi, Databricks, Helm, Python, Kubernetes, Data Modeling, Azure, Etl, ML-Ops

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

Jax, Tensorflow, Pytorch, Python, Stable Baselines3, MuJoCo, Ray RLlib, CleanRL, Gymnasium

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

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

Pandas, XGBoost, Tensorflow, Nlp, Numpy, Gcp, Pytorch, Python, LangChain, Vision AI, Cloud platforms, Scikit-learn, Gen AI, Document extraction, Conversational AI