Gabriel Mbenda

Rapid prototyping of Machine Learning solutions with No-Code/Low-Code tools

I offer rapid prototyping services for the development of machine learning solutions, leveraging no-code and low-code tools, which significantly reduce the time for creating and validating models. My expertise is based on an agile approach that allows solutions to be adapted to business needs in record time, without excessive technical complexity.

The process I follow integrates the key steps of the machine learning workflow, ensuring a methodical and structured approach:

1. Objective Definition: I assist my clients in clearly defining their business problem and the expected outcomes of the machine learning project.

2. Data Collection and Preparation: I handle data collection, cleaning, and preparation, ensuring the data is ready for model training.

3. Exploration and Transformation: I analyze the data and select the most relevant features to maximize model performance.

4. Model Selection and Training: Using rapid approaches (AutoML, BigQuery ML), I select and fine-tune the most effective models based on project specifics.

5. Rapid Prototyping: With low-code/no-code tools, I quickly create functional prototypes, allowing companies to test AI solutions within days.

6. Deployment and Maintenance: I ensure that validated models are deployed and maintained effectively, with regular monitoring to guarantee their performance.

Why Choose Me?

Thanks to my pragmatic and rapid approach, I enable my clients to validate business hypotheses and take action quickly. My expertise reduces the time-to-market for models while minimizing development costs, using tools tailored to your needs.