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Hi, I'm Raza Rizwan Cloud Generative AI Engineer! 👋

Portfolio ✉️

AI-APIs

AI-powered-APIs

GPT Actions and APIs

AI Agents

GENAI Apps

EVERYTHING IS an API

About Me 🚀

🎓 I'm a Cloud Generative AI Engineer working at Canz Technologies. I don't have a resume, but I have a portfolio showcasing my experience. The links above demonstrate my expertise.

Professional Experience:

  1. We possess extensive experience in developing APIs, including those that integrate with multiple external APIs such as OpenAI or Gemini APIs, as well as PostgreSQL APIs. These APIs are designed to address real-world challenges effectively and efficiently.

Check our APIs experience

  1. Additionally, we have expertise in crafting AI-powered APIs. Our approach involves creating custom functions that interface with APIs provided by platforms like OpenAI (Assistant APIs or Chat Completion APIs) or Gemini APIs. This method, known as Function calling APIs, enables seamless integration of AI capabilities into various applications.

Check our AI-powered APIs experience

  1. Furthermore, we specialize in constructing Custom GPT actions. Leveraging tools such as FastAPI, we develop custom APIs that interface with Custom GPT models. These models are capable of autonomously invoking designated APIs to tackle diverse real-world problems.

Check our Custom GPT and their APIs experience

You can also find me on:


Raza Rizwan's Projects

ai-as-an-api icon ai-as-an-api

Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

data-science-portfolio icon data-science-portfolio

In this repository, I have showcased my work in Machine Learning, Deep Learning, and AWS SageMaker. Additionally, I have included my freelancing projects as well.

end_to_end_cell_object_detection_using_yolo_v8_with_deployment icon end_to_end_cell_object_detection_using_yolo_v8_with_deployment

Successfully concluded YoloV8 Deep Learning project, encompassing MLOps practices, model training facilitated through an intuitive app UI, seamless integration of GitHub Action for automation, and efficient AWS deployment using a robust CI/CD pipeline. Demonstrated expertise in optimizing object detection with cutting-edge techniques.

end_to_end_ml_project_with_mlflow_and_deployment icon end_to_end_ml_project_with_mlflow_and_deployment

𝗠𝗟 𝗽𝗿𝗼𝗷𝗲𝗰𝘁, encompassing key topics like 𝗗𝗮𝗴𝘀𝗵𝘂b and 𝗠𝗟𝗳𝗹𝗼𝘄 for version control, 𝗠𝗟𝗢𝗽𝘀 practices for efficient deployment, and robust 𝗖𝗜/𝗖𝗗 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲 setup. Showcased 𝗔𝗪𝗦 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 with the help of 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻 prowess for seamless machine learning application integration.

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