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Most ML projects fail at deployment, not at training.
I help businesses and founders turn their data into production-ready machine learning solutions, not notebooks.
I work on:
What you get is not just a trained model, but a clear, explainable, and deployable solution.
Tech stack: Python, LightGBM, FastAPI, PostgreSQL, Docker.
Before starting, I always review your data and goals to choose the right approach.
AI Engineer and Data Scientist
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