Design, build, and implement AI and machine learning models for diverse business applications.
Develop and optimize solutions using Python, TensorFlow, PyTorch, Keras, and Scikit-learn.
Leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI platforms (e.g., Nasdaq GenAI Platform, Microsoft Copilot Studio) for automation and intelligent application development.
Integrate AI capabilities into DevSecOps tooling and productivity platforms.
Collaborate with product managers, engineers, and stakeholders to identify use cases and deliver robust AI solutions.
Stay current with advancements in AI research, tools, and technologies.
Document code, experiments, and results for reproducibility and knowledge sharing.
