Ambitious and focused Computer Engineering student with proven knowledge of programming, researching, problem-solving, and 2+ years experience with android development. I consider myself an expert android developer who can interact with other team members efficiently. Also, I am interested in machine learning and its usages.
Contact details
- Phone: +989010182382
- Email: Alirezalorestani989
gmail
com - Sites: github.com/alirezalorestani23
linkedin.com/in/alireza-lorestani-59772a104
Education[edit | edit source]
- Bachelor of computer engineering - Ferdowsi University Of Mashhad - 2019 to 2023 - GPA: 16.11
- Teaching Assistant - Course: "Compiler design fundamentals"
- Grade the exams and the projects
- Design practical tasks for students
- Teach in classes to give homework solutions
Professional Experience[edit | edit source]
- Android developer - Part Software Group (Jan 2019 - Present)
- health club application with +50k install on play store
- signal project which is the most popular financial application in Iran with +5M install on the play store.
- Android developer intern - Part Software Group (Jul 2019- Dec 2019)
Skills[edit | edit source]
- Kotlin
- Java
- Python
- C
- C#
- MATLAB
- Data mining and machine learning
- Git
- Android Developing
- Software testing
- OO programming
- Design Patterns
- Team work
- Linux
Projects[edit | edit source]
- Basics of computer and programming
- Snake game: using C
- Advanced Programming
- Restaurant managing software: using C#
- Agar.io game: network based, using C#
- Basics of data mining
- Preprocessing: using python
- Association rule mining: apriori, using python
- Clustering: K-means, using python
- Artificial intelligence
- CSP: backtracking, forward checking, MRV, LCV, using Java
- Inform and uninformed search: BFS, DFS, BDS, UCS, A*, IDA*, using Java
- Adversarial Search: risk game, minimax algorithm, using python
- Local search: using Java
- Computational Intelligence(Machine learning)
- Clustering with Kmeans, DBSCAN, and MeanShift
- Classification with SVM, Decision tree and MLP
- Ensemble learning: random forest, Adaboost, bagging, voting
- Using sklearn python library
- Example:
- Computer Vision
- Spatial domain operations
- Image Processing: Applying Different filters on the images
- Frequency domain operations
- Color spaces
- Wavelet
- Feature detection: SIFT, SURF, BOW
- Multimedia systems
- Video encoder – decoder: using python
- Operating systems
- Multi-line search engine: multi-thread programming Interprocess communication
- Processor's scheduler: simulating RR scheduler
- Data base
- Spotify database and apis: using php and MySQL
- Software testing
- Unit test: using Junit
- Web page testing: using selenium webdriver and python
- Web programming
- Online food ordering website: using react and Django
- IoT Basics
- Smart bands: I was responsible for android app
- Fundamentals of Information Security
- openSSL Information extractor: using python final project: Linux ac commands, iptables
Achievements[edit | edit source]
- MPM Sharif 2020 (Sharif university mobile programming marathon)
- 5th place
- advance near venues finder application using AR
- University entrance exam in Iran 2017
- Being in 7% top students among almost 140,000 contestants
Research Interests[edit | edit source]
- Machine Learning and Artificial Intelligence
- Natural Language processing
- Data Science and Analytics
- Computer vision and image processing
- Databases and Geographical Information Systems
- Software Engineering