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I am an AI engineer with more than three years of working experience specializing in computer vision, NLP, and recommender systems. I am also a Google-certified TensorFlow developer. I have a master's degree in AI from IP Paris, one of the highest-ranked universities in the world. I love teaching and sharing knowledge with others. You can follow me on Medium 😇
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- GPA: 14.5/20 (Grade: A)
- Master Thesis: Borehole Sonic Data Classification.
- One of the top 50 universities in the world.
- GPA: 3.48/4
- member of dean's list several times
- GPA: 9.9/10
- a member of the group preparing for the National Olympiad in Physics and
Mathematics
- a group leader, responsible for extra curriculum activities.
- Master Thesis: Borehole Sonic Data Classification
- Created predictive models and data visualizations.
- Developed and advised data-driven solutions.
- Assisted Undergraduate students with their Laboratories
- Involved AVR/ARM microcontrollers programming Using C
- A leader of up to 25 students from the age of 15 to 22 in a summer camp
- Helped to organize summer camp activities
- Prepared up to 80 high school students in Mathematics and Physics for their final exam.
- All my students passed their exams successfully
- Created up to 100 physics problems for high school students
- These problems help students to prepare for their national exams
• 3nd place out of more than 100 teams.
• Created sentiment analysis classifier using SOTA deep learning algorithms.
Article
• 2nd place out of 120 teams
• Created recommender system algorithm using SOTA deep learning algorithms.
Article
• Winner in insurance business category.
• Created a churn prediction model.
Article
• Winner of Aging Independently category.
• Predicting their activities based on specific time.
Article
• Competition in Mathematical Logical problems
•
2000Lari scholarship
Article
• One of the 50 finalist in Georgia
Click on the image and see source code each of project
A Data Scientist is not the one who knows python, Sklearn, TensorFlow, etc. But who is who knows
how to play with the data.
My medium URL
Build segmentation model using Segment Anything
Deploy DL classifier model on the web using Steamlit.
Explain your ML/DL to others.
Hypterparameter tuning using NNI.
Deploy ML/DL on the web using streamlit
Build an ML Regression Model Using the Tree-based Algorithms (Decision Tree, Random Forest, XGboost)
How to build an ML regression model using the top linear ML algorithms (Linear Regression, Lasso Regression, and Ridge Regression)
a Data Scientist is not the one who knows python, Sklearn, TensorFlow, etc. But who is who knows how to play with the data.