Software Development, Debugging, Google Cloud, Computer Vision, Data Processing, Multi-Modal Large Vision Models, language modeling, Gemini connector framework, optimizing ML infrastructure, model deployment, Gemini models, ML design, AI-native front-ends, fine tuning, API-centric frameworks, generative AI techniques, model evaluation, evaluation and testing frameworks, autonomous agent architectures, prompt engineering

secure sdlc , Automated Testing, Containers, Devops, Python development, Kubernetes, Infrastructure as Code, Generative AI, Event-driven architecture, Agentic AI frameworks, AI Governance, Model Evaluation, SRE Principles, Microservices architecture, Cloud-native architectures, Modern software engineering practices, Vector Databases, AI Agents and Multi-Agent Systems, Responsible AI, Prompt Engineering

BigQuery, Neural Networks, Deep Learning, Tensorflow, Cloud Storage, Nlp, Git, Pytorch, MLops, Docker, Keras, DataFlow, Python, Computer Vision, Agentic AI frameworks, LLMOps, API-based deployments

data engineering , Software Development Life Cycle, Agile Methodologies, Full Stack Java, Automation, Application Resiliency, Continuous delivery methods, AI-assisted development, Ai, Security, Cloud native experience

Machine Learning, Network Security, Soc, Hipaa, Python, Oltp