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README.md
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For additional technical perspectives, applied AI discussions, and research notes, see our [Insights](https://infinity6.ai/insights).
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For examples of applied predictive intelligence in production environments, see our [Success Stories](https://infinity6.ai/success-stories).
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## AI & ML Interests
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`predictive-modeling` 路 `recommendation-systems` 路 `time-series-forecasting` 路 `demand-forecasting` 路 `retail-ai` 路 `industrial-ai` 路 `behavioral-modeling` 路 `propensity-modeling` 路 `optimization` 路 `mlops` 路 `model-serving` 路 `continuous-evaluation` 路 `decision-intelligence`
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infinity6 explores applied AI systems designed to connect data signals, predictive models, and autonomous decision layers.
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Our work spans recommender systems, behavioral modeling, propensity modeling, optimization, domain-specific pre-training, model monitoring, and production-grade ML infrastructure.
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For additional technical perspectives, applied AI discussions, and research notes, see our [Insights](https://infinity6.ai/insights).
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For examples of applied predictive intelligence in production environments, see our [Success Stories](https://infinity6.ai/success-stories).
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