probabilistic models , Tensorflow, Deep Learning, Numpy, Pandas, MLops, Pytorch, Python, Scikit-learn, reinforcement learning, classical statistical methods, XAI methodologies

Java, Machine Learning, Google Cloud Platform, C, Tensorflow, Pytorch, Javascript, Debugging, Azure, Python, AWS, Data Processing, fine tuning, Hugging Face, model deployment, model evaluation, generative AI models, cloud computing platforms

React, Docker, Flutter, Azure, Azure DevOps, LLMs, RAG, REST API design, prompt engineering

model development , Python, Data pipelines, AI architecture, Deployment, Monitoring, Applied AI, GenAI

data engineering , data warehouses , Machine Learning, AI ML, JIRA, Numpy, Pandas, MLops, Pytorch, Gcp, Data Science, Databricks, Azure, Python, AWS, Weights Biases, scikit-learn, MLflow, microservice API integration, data lakes, R

Apis, Argo, Testing, Distributed Systems, Spark, Kubernetes, Python, Airflow, experiment tracking, workflow orchestration, Ray, CI CD, Production Support, model registries, MLOps tools, observability