I'm a AI Engineer who's working on real-world problems with an orchestrated, fully designed, and scalable machine learning system to help better flexible life.
Also, I am Professional Machine learning Engineer from Google Cloud & Certified Data Scientist from IBM ā working for bringing the industrial experience of the best two companies in AI & ML. These certificates help me have a vision and better decisions in building and orchestrating ML systems.
- š Iām currently working on Control Theory and decision making in AI.
- š± Iām currently learning more about Statistics & Computational thinking & System Design.
- š¬ Ask me about AI ethics and how to start building your vision into a machine.
- š« How to reach me: Join my journey on LinkedIn.
- ā” Fun fact:
- Who doesn't like Ironman!! If you do, you must like how Jarvis corporate everything š.
- That's why ā our generation like to have something like Jarvis.
- The Fun fact here, Jarvis now is not a fictional character ā it is now a fact.
- āļø Wanna have a look: My Resume
- š Kaggle Profile: My Kaggle Profile
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Have Solid knowledge about how to build pipelines as Data Scientist (starting from data cleaning, going throw exploratory data analysis EDA, until export model).
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How to build a pipeline as Machine Learning Engineer (starting from data pre-processing, feature engineering, hyper-parameter tuning and cross-validation, until serving the model) using Tools like TFX, Kubeflow, Apache Beams, and Airflow.
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How to convert business requirements into CI.
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Capable build advanced and explainable models that predict and forecast outcomes.
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Capable build advanced and explainable models that predict and forecast outcomes using orchestration artefacts for CT.
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Capable of framing & architecting any AI problem.
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AI code is 5% of any project. Hence, all the focus will be on monitor & measure for optimizing the performance of our model.
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The deployment process will not be efficient if there is no solid research behind it. So, I'm capable create a sophisticated technical report that emphasizes the workflow behind the development process.
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Have the ability to deliver actionable business insights and incubate innovative ways of solving problems and founding solutions.
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The main goal is to finish what you start: "clients do not relate to reasons, they relate to actions".
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Discipline, persistence, well-adapted are keys for a successful person; that's why ā I make them my big picture.
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Communication is not always the best thing, but being convenient is the best, especially with the stakeholders.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent