Journey
In this section
- The journey, 2020 to 2026How Raza Rizwan went from training image classifiers in notebooks to deploying AI systems that run real business operations, one era at a time.
- 2020 to 2021: predictive AIThe first two years, where classic machine learning and deep learning were learned in public, one classifier at a time.
- 2022 to 2023: MLOpsTwo years spent learning to ship models, with CI/CD, DVC, MLflow, YOLO object detection in production, SageMaker endpoints and the first private client work.
- December 2023: the generative turnThe week the repositories changed character, from predictive models to generative AI.
- 2024: GenAI APIs and microservicesThe year LLM features were shipped as clean, documented APIs, and the first paid client app was built.
- 2025: AI agentsThe year the job changed from building models to building workers, and the first year of agency work at Canz Marketing.
- 2026: AI employees and MCP connectorsThe Forward Deployed Engineer work, where AI systems hold real jobs inside a business and nine live MCP connectors run an agency's operations.
- The journey in numbersEvery count this record makes about the journey, with the date it was read and the method behind it.
- Repositories by yearThe complete list of public repositories owned by rrizwan98, year by year, with private repositories counted but not named.
What to bring
The six answers that turn a vague "can AI help my business" into a step table worth reading, whichever industry you are in.
The journey, 2020 to 2026
How Raza Rizwan went from training image classifiers in notebooks to deploying AI systems that run real business operations, one era at a time.