Machine Learning, Artificial Intelligence, Agile Methodologies, Neural Networks, Deep Learning, Tensorflow, Data Science, Python, Scikit-learn, Statistics, Cloud Platforms, DevOps Practices, System Design Patterns, RAG, Data Processing Technologies

Azure, Python, Agentic AI, Llm, Lang chain

Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Deep Learning, Python Programming, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks

Github, Machine Learning, Scipy, PostgreSQL, Jira, Sql, Deep Learning, Numpy, Pandas, MySQL, Databricks, Oracle, Azure, Python, AWS, Generative AI, AWS Bedrock, Agentic AI frameworks, Scikit-Learn, RAG embedding models, Transformers, BERT, Azure AI

Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Python Programming, Deep Learning, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks

Rust, Scipy, Tensorflow, Numpy, Nlp, Pandas, Pytorch, Neo4j, Opencv, Python, Computer Vision, Dimension Reduction, Generative AI, Langchain, scikit-learn, reinforcement learning, Vector DBs, Sequential Models, ArangoDB, Kubeflow, MLFlow, Causal AI, LlamaIndex

Python Programming, Deep Learning, Apache Spark, Statistical Analysis, Jenkins, Hadoop, Machine Learning, Airflow, Data Munging Techniques, Kubeflow, Large Language Models, ML Flow

Api Integration, Python, Asynchronous programming, tool use, function calling, agentic AI systems, agent frameworks, prompt chaining, prompt engineering, few-shot learning, vector databases, autonomous workflows