cv
Here is my online cv. You can also download the pdf version by clicking the icon above.
Table of contents
Basics
| Name | Parham Moonesi Sohi |
| Label | Student |
| pmoonesi@aut.ac.ir | |
| Phone | (+98) 912 022-8691 |
| Url | https://pmoonesi.github.io/ |
| Summary | A simple computer engineering student who's trying to live a quiet but purposeful life. |
Work
- 2023.01 - present
Penetration Tester
Saba System Sadra
We work on websites and online services of different companies and try to find vulnerabilities and provide proof of concepts and furthermore, we propose how to fix them.
- Burp Suite
- 2022.06 - 2022.09
Penetration Tester Intern
Saba System Sadra
I was introduced to the theories behind penetration testing and learned about the keywords in this field. Moreover, I did some hands-on working on the hackthebox.com machines and challenges.
- Hackthebox
- 2022.02 - 2022.06
Frontend Developer
Danio.ir (former Eduland.ir) Educational Platform
We designe the website from scratch using ReactJS but later immigrated to NextJS. My most notable work was the implementation of exercises and questions.
- ReactJS
- NextJS
Volunteer
- 2022.09 - 2021.02
Teaching Assistant
Principles and Applications of Artificial Intelligence
Edited and published course projects originally obtained from Berkley University and also, helped with extra guidance and supplementary material such as videos.
- Under the supervision of Assistant Professor Mahdi Javanmardi
- 2021.02 - 2021.06
Workshop Assistant
Advanced Programming
Was responsible to advise a group of students and collect and mark their workshop exercises.
- Under the supervision of Assistant Professor Hossein Zeinali
- 2020.09 - 2021.02
Teaching Assistant
Fundamentals of Computer Programming
Participated in designing programming exercises and recording workshop guide videos.
- Under the supervision of Assistant Professor Bahador Bakhshi
Education
-
2019.09 - present B.Sc.
Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
Computer Engineering
- Principles and Applications of Artificial Intelligence
- Principles of Computational Intelligence
- Data Mining
- Applied Linear Algebra
- Principles of Compiler Design
- Multicore Programming
-
2016.07 - 2019.07
Certificates
| Deep Learning Specialization | ||
| deeplearning.ai | 2023-09-05 |
| Fundamental Neuroscience for Neuroimaging | ||
| Johns Hopkins University | 2023-06-08 |
| Computational Neuroscience | ||
| University of Washington | 2023-04-23 |
| From Single Neuron to Learning in Networks | ||
| Institute for Research in Fundamental Sciences (IPM) | 2023-02-09 |
Skills
| Programming Languages | |
| Python | |
| Java | |
| C/C++ |
| Frameworks and Libraries | |
| Tensorflow | |
| Keras | |
| Pytorch | |
| Numpy | |
| ReactJS | |
| Django | |
| Cuda | |
| OpenMP |
| Tools | |
| Git | |
| Jupyter Notebook | |
| Google Colab | |
| VSCode | |
| Bash | |
| Burp Suite |
Languages
| Persian | |
| Native speaker |
| English | |
| Fluent |
Interests
| Machine Learning | |
| Brain Data Analysis | |
| Computational Neuroscience |
Projects
- 2023.07 - Present
Adversarial Robustness of Face Reconstruction Networks
We have read multiple articles on adversarial attacks and presented them. Right now, We are investigating the possibility of defending the reconstruction networks against the adversarial attack proposed in 'Privacy-preserving Adversarial Facial Features, Z Wang'.
- Adversarial Training
- Under the supervision of Assistant Professor Ahmad Nickabadi
- 2023.06 - Present
Alzheimer's disease detection using machine learning
As my B.Sc. I want to train three different machine learning models to detect Alzheimer's disease and compare them. I am currently in the data acquisition stage.
- 3D Image Classification
- Under the supervision of Assistant Professor Ehsan Nazerfard
- 2022.11 - 2023.04
Parasite Egg Detection in Animal Faeces
After we collected our data from a laboratory that had annotated their data in LableBox, we utilized different object detection models (YOLO, Faster RCNN and RetinaNet) for a parasite egg detection task. After comparing our different models, we chose the best one and deployed it on a web server using an Amazon EC2 instance.
- Object Detection in Medicine
- Model Deployment
- Under supervision by Paria Mehrbod