Hi I'm David Letourneau Dilanchian
I am a bachelor degree
student of computer
engineering at the university of Guilan.
I started my career in AI by
studying about Evolutionary Algorithms,
like Genetics and I have implemented a paper about using genetics to
optimize Multi-Depot Vehicle Routing Problem.
Then, I started learning about machine learning and deep learning myself by
self-study using online videos of different universities.
And now I am currently researching about my ideas.
I love teaching I have had many presentations about different topics in almost all undergraduate courses. And Also, I usually contribute to Open Source community couple of times a week.
Furthermore, I love to communicate with other people to know more and exchange information. This helps me a lot to understand better.
Finally, Reinforcement Learning is the top-1 topic I want to do some research.
Capable of providing complete and standard docs to help easier maintenance and further usage.
Many presentations in university and conferences about different topics, specially AI.
Capable of learning new technologies very fast and apply them on problems.
I interested in mathematics like calculus, algebra, matrix theory, statistics etc.
Good communication to teammates and consulting to other members.
3rd place of university with GPA 93% (18.68 / 20).
In this school, professors had presentations about ANN, CNN, GAN and etc. Hands on assignments were with python and Keras.
1st place in the high school with GPA 98% (19.60 / 20)
1st place in the middle school with GPA 100% (20 /20)
1st place in the elementary school with GPA 100% (20 / 20)
Applying fuzzy systems on modified cohort intelligence for
clustering.
In this project, I introduced fuzzy system for hyperparameters of cohort
intelligence to cluster better with MSE accuracy.
In this project, we provided some modifications on mutation phase and main algorithm and we got better answer from original paper of Multi Depot Vehicle Routing Problem. This new algorithm has been implemented.
In this project, I implemented all assignments of coursera machine learning course by Andrew Ng in python and using native libraries (no octave/matlab to python libraries). I also done all assignments using matrix operations and vectorized structure. And all optional assignments has been done.