Google Cloud Generative AI Leader
Learning journey and enterprise GenAI takeaways covering responsible AI, grounding and RAG, agents, Gemini, Vertex AI, metrics, and certification preparation.
Read the guideI build production data science systems across machine learning, NLP, LLMs, cloud platforms, and applied AI workflows.
I am a data scientist with about 8 years of experience building machine learning and data-intensive systems. My work spans NLP, deep learning, LLMs, cloud platforms, and production-grade data science architecture.
I enjoy turning ambiguous business problems into practical AI and ML systems: clarifying the problem, designing the data path, building reliable models or workflows, and creating artifacts others can reuse.
Python
R
PyTorch
TensorFlow
HTML
CSS
JavaScript
GCP
AWS
Plotly
Bokeh
Selected writing and projects across applied AI, data science systems, infrastructure, and technical explainability.
Learning journey and enterprise GenAI takeaways covering responsible AI, grounding and RAG, agents, Gemini, Vertex AI, metrics, and certification preparation.
Read the guideA practical explanation of product complement and substitute relationships using sales data, network science, null models, and Spark implementation notes.
Read the articleA hands-on introduction to Infrastructure as Code with Terraform, written as a practical one-hour tutorial for engineers getting started with repeatable infrastructure.
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