Tensorflow, Pytorch, Gcp, Docker, Azure, Python, Kubernetes, AWS, evaluation techniques, data preprocessing, scikit-learn, MLOps practices and tools, ML frameworks, feature engineering

theano , Cloud AWS, Natural Language Processing, Tensorflow, Pytorch, XGBoost, Machine Learning Algorithms, Keras, Python, FastAI, LightGBM, MxNet, Google ML Kit, AI ML Ops, Scikit-Learn, Caffe, Data Analysis

adx , Microservices, Tensorflow, Hadoop, Machine Learning, Pytorch, Python, Spark, Generative AI, DevOps methodologies, Ai, Cloud-native architectures, R

Git, Machine Learning, Teamcity, Python, Aws Cloud, GenAI, Agentic AI, CodeDeploy, Responsible AI, IAC

Scripting, Backup Recovery, Oracle Database, Oracle Rman, Amazon Rds, AWS Infrastructure, Performance Tuning, AWS

Jira, Sprint Planning, Confluence, GenAI, Vision AI, Agile delivery tooling, human-in-the-loop review, LLM-based capabilities, unstructured data extraction, AI solution design, data provenance, multi-agent workflows, responsible AI principles, architecture decisions, output-quality benchmarking, evaluation approaches for AI outputs, ground-truth validation, user trust, accuracy metrics, prompt design, backlog management, agent orchestration, Miro

Power Bi, Python, Excel, Vba, Tableau, Securities Research, Leveraged, Powerpoint, End-to-End Deal Execution, Structuring Complex Debt Transactions, Debt Origination and Syndication

Hadoop, Spark, Python, AWS