# 2022 to 2023: MLOps (/docs/journey/2022-2023-mlops) --- type: Document title: "2022 to 2023: MLOps" description: Two years spent learning to ship models, with CI/CD, DVC, MLflow, YOLO object detection in production, SageMaker endpoints and the first private client work. status: stable order: 3 generated: { by: "process:claude-code", at: 2026-08-26T19:45:00Z } sources: - id: github-repos title: GitHub API, repositories owned by rrizwan98, read 26 August 2026 resource: https://api.github.com/search/repositories?q=user:rrizwan98 - id: journey-note title: "From Predictive AI to Forward Deployed Engineer: My 6-Year Journey, Raza Rizwan, July 2026" resource: "Raza Rizwan, From Predictive AI to Forward Deployed Engineer: My 6-Year Journey, a July 2026 note kept as FDE-Journey-Raza-Rizwan.md; the text behind the former portfolio journey page" verified: - { by: "human:rrizwan98", at: 2026-08-30T12:30:00Z } ksor: audience: [public] approval: { by: "human:rrizwan98", at: 2026-08-30T12:30:00Z } trust_tier: human-reviewed build_id: sha256:d9f989bee8fa4c15cf0f7f1572f9e9a18305ef4e2ce0c3cfb6a5a421ead6dc1d dirty: true --- A model in a notebook is a science project. These two years are about shipping them. The repositories change from single models to pipelines, and for the first time some of the work is private: 3 of 14 repositories in 2022, 6 of 23 in 2023.[^github-repos] ## What happened - **MLOps pipelines.** CI/CD, DVC, MLflow, Dagshub, Git workflows and end-to-end project structure, from an iris dataset in April 2022 to a full MLOps portfolio in June 2022, then end-to-end projects with MLflow and deployment through 2023.[^journey-note] - **Computer vision in production.** YOLOv5 fire-and-smoke detection in 2022; YOLOv5, YOLOv7 and YOLOv8 object detection with MLOps in 2023; kidney-disease and chest-infection classification apps. - **AWS at depth.** SageMaker training and endpoints, an endpoint wired to a Lambda function, a Hugging Face model deployed on SageMaker, a serverless SaaS API. - **Healthcare AI.** A chatbot API and a cancer-care chatbot API built for real users, both private, in early 2022.[^journey-note] - **Sideways again.** A Next.js repository in April 2023, and Web3 and metaverse assignments in 2022, alongside forks of the Panaverse curriculum, a Solidity smart-contracts course and the SageMaker book. ## The public repositories | Created | Repository | What it is | | --- | --- | --- | | 2022-01-05 | Serverless-Api | Serverless SaaS API on AWS | | 2022-01-31 | Dr.-Dinish- | Project repository | | 2022-04-07 | MLOps | MLOps exercises | | 2022-04-25 | iris-data-using-MLOps | First MLOps pipeline on the iris dataset | | 2022-04-28 | web-Images-scraping | Image scraping for datasets | | 2022-06-21 | MLOps-Portfolio | CI/CD pipelines, DVC, MLflow, Git workflow and Heroku deployment in one structure | | 2022-08-03 | Data-Science-portfolio | Machine learning, deep learning and SageMaker work in one place | | 2022-08-11 | fire_and_smoke_detection | Fire and smoke detection | | 2022-08-14 | Raza_portfolio | Data science and MLOps portfolio | | 2022-09-12 | learn-Sagemaker | SageMaker learning | | 2022-09-26 | web3-and-metaverse-assignments | Course assignments; also holds a YOLOv5 fire-detection exercise | | 2023-04-18 | nextjs | Next.js learning | | 2023-05-03 | end_to_end_MLOps_projects | End-to-end MLOps projects | | 2023-05-17 | MLOps-apply-on-BTC-Data | MLOps on Bitcoin price data | | 2023-06-07 | Apply-Mlops-DVC-concepts-on-image-dataset | DVC on an image dataset | | 2023-06-07 | datasets | Dataset store | | 2023-07-21 | End_To_End_Cell_Object_Detection_Using_Yolo_V8_With_Deployment | YOLOv8 cell detection, trained and deployed with MLOps practices | | 2023-07-31 | End_to_End_ML_Project_with_mlflow_and_Deployment | End-to-end project with MLflow and DVC, deployed | | 2023-09-22 | Image-Classification-Sagemaker-with-MLOps | Image classification on SageMaker with MLOps | | 2023-09-23 | End-to-End-Chest-Infection-Classification-App-With-MLOps | Chest-infection classification app | | 2023-09-23 | yolov5-object-detection-with-MLOps | YOLOv5 detection with MLOps | | 2023-09-23 | models | Model store | | 2023-10-04 | Image-Classification-Model-Sagemaker-Connect-To-Lambda-Function | SageMaker endpoint connected to a Lambda function | | 2023-10-07 | Kidney-Disease-Classification-Deep-Learning-Project | Kidney-disease classification | | 2023-10-23 | Deploy-hugging-face-Model-on-AWS-sagemaker | Hugging Face model on SageMaker | The three December 2023 repositories that close the year belong to the next page, because they mark the turn. ## Private work - **2022, three private repositories:** two chatbot APIs, one of them for a cancer-care service, and an MLOps-on-SageMaker build. - **2023, six private repositories:** an object-detection job on YOLOv7, an MLOps exercise on a neural network, an image-scraping tool, a data pipeline, and in December the first two generative-AI repositories, a Gemini experiment and an agriculture solution.[^github-repos] Private repositories are counted here and never named. ## What this era taught Deployment, versioning and monitoring are not extras. They are the product.[^journey-note] Next: [December 2023: the generative turn](2023-the-generative-turn.md). [^github-repos]: GitHub API, repositories owned by rrizwan98, read 26 August 2026: 14 repositories created in 2022 (11 public, 3 private) and 23 in 2023 (17 public, 6 private). [^journey-note]: From Predictive AI to Forward Deployed Engineer: My 6-Year Journey, Raza Rizwan, July 2026.