Machine Learning, Natural Language Processing, Devops, MLops, Microsoft Azure, Databricks, Azure Machine Learning, Statistical Analysis, Azure OpenAI Service, Ai, Analytics, modern data platforms, AI agents, Azure AI services, knowledge systems

Analytics, cloud FinOps tools, DevOps practices, cloud-native architecture, infrastructure-as-code concepts, tagging policies, Financial Modelling, AWS billing pricing models, cost governance frameworks, Forecasting, budgeting

Automation Frameworks, Distributed Systems, Pytest, Selenium, Python, Api Testing, Playwright, AI-powered engineering and testing solutions, cloud-native architectures

Tensorflow, MLops, Gcp, Pytorch, Docker, Flask, FastAPI, Azure, Kubernetes, Python, AWS, LangChain, Generative AI, scikit-learn, LLMOps, Cloud-native AI platforms, Hugging Face

Java, Python, Data structures, Project management, Standard algorithms

Matplotlib, Keras, Tensorflow, Jira, Numpy, Pandas, Sklearn, Seaborn, Nltk, AWS, Pytorch, Python, Azure, Confluence, Gcp, Git, OpenAI, Stanford NLP, SparkML, PyCaret, Ling Pipe, Caffe

MLops, Enterprise Architecture, Azure DevOps, RAG systems, LLMs, GitHub Actions, AI observability frameworks, Langfuse, Agentic AI systems, Agent memory systems, Multi-agent orchestration frameworks, LLMOps, Opik, Weights Biases, Data Platforms, Azure AI Studio

Spring Framework, Agile, Postgres Sql, Rest Web Services, Java, Soap Web Services, Mean Stack, Agentic AI Autonomous Systems, Spring Boot 6, Containerization Kubernetes, Single Sign On OAuth SAML, C4 UML Archimate, Generative AI LLMs NLP, Secure By Design concepts, Application Performance Monitoring APM techniques, Big Data Data Lake BI Tools, Microservice based architecture, Secure DevOps, AI-Augmented Development, Machine Learning ML Deep Learning DL Fundamentals, Multi Factor Authentication