From Dataset to Decision
How to frame ML problems so stakeholders trust the output, not just the metrics.
AI & Machine Learning Engineer
Crafting models,
writing stories.
I focus on machine learning systems, trustworthy models, and data that drives real decisions. Python, deep learning, and technical storytelling, built for teams who need clarity and impact.

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How the work moves, and the tools behind each stage.
Python runs through every stage: clean, confident code that powers real AI systems.
Signal from noise: cleaning, visualization, and insight anyone can act on.
Pandas · NumPy · SQL · Matplotlib · Seaborn
Predictive models that are accurate and ready for real decisions, plus hands-on work with generative AI, agents, and LLMs.
Scikit-Learn · Deep Learning · NLP · RAG · Agents
Validation splits, metrics, and prompt evaluation, so results are checked rather than assumed.
Validation splits · Metrics · Prompt evaluation
Model packaging, repeatable train scripts, and interfaces for watching models live.
MLOps · ETL · GitHub · React · API
Technical narratives that make complex AI feel human.
Model explainers · ML walkthroughs · LinkedIn posts
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Fourteen builds across machine learning, generative AI, and data. Select a star to read about it.
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Technical narratives that make complex AI feel human.
How to frame ML problems so stakeholders trust the output, not just the metrics.
Lessons from generative AI certs and labs: structure, evaluation, and safe deployment.
Patterns for pipelines, notebooks, and code you can hand off without apology.
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Formal training across cloud AI, ML, data, and networking foundations.
How I work
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Have a model to build or a dataset to make sense of? Start here.