Blog Post
17th July 2023
Building an ML Prototype That Predicts Failure
machine learning, prototype
The Power of AI: Revolutionizing Our Lives
Machine learning becomes most useful when it solves a tightly defined problem. I built a lightweight prototype focused on early-stage failure prediction using historical patterns and basic supervised learning techniques. The goal was not to build a perfect model, but to validate whether ML could meaningfully anticipate high-risk behaviors and reduce manual investigation.
From Raw Signals to Features
The challenge was extracting the right inputs. I transformed raw logs into structured signals, engineered features around patterns, and removed noise that could confuse the model. With this foundation, even simple models produced surprisingly interpretable predictions.
Testing and Iterating Quickly
The first version was far from perfect, but it highlighted clear failure patterns. Each iteration improved precision, demonstrating how prototypes validate assumptions long before complex architectures are required.
Blog Post
17th July 2023
Building an ML Prototype That Predicts Failure
machine learning, prototype
The Power of AI: Revolutionizing Our Lives
Machine learning becomes most useful when it solves a tightly defined problem. I built a lightweight prototype focused on early-stage failure prediction using historical patterns and basic supervised learning techniques. The goal was not to build a perfect model, but to validate whether ML could meaningfully anticipate high-risk behaviors and reduce manual investigation.
From Raw Signals to Features
The challenge was extracting the right inputs. I transformed raw logs into structured signals, engineered features around patterns, and removed noise that could confuse the model. With this foundation, even simple models produced surprisingly interpretable predictions.
Testing and Iterating Quickly
The first version was far from perfect, but it highlighted clear failure patterns. Each iteration improved precision, demonstrating how prototypes validate assumptions long before complex architectures are required.
Blog Post
17th July 2023
Building an ML Prototype That Predicts Failure
machine learning, prototype
The Power of AI: Revolutionizing Our Lives
Machine learning becomes most useful when it solves a tightly defined problem. I built a lightweight prototype focused on early-stage failure prediction using historical patterns and basic supervised learning techniques. The goal was not to build a perfect model, but to validate whether ML could meaningfully anticipate high-risk behaviors and reduce manual investigation.
From Raw Signals to Features
The challenge was extracting the right inputs. I transformed raw logs into structured signals, engineered features around patterns, and removed noise that could confuse the model. With this foundation, even simple models produced surprisingly interpretable predictions.
Testing and Iterating Quickly
The first version was far from perfect, but it highlighted clear failure patterns. Each iteration improved precision, demonstrating how prototypes validate assumptions long before complex architectures are required.