Bardia Abhari is an Iranian computer engineering student born in 1996 in Shiraz, Iran. He has a strong academic background in computer science and machine learning. He is currently pursuing his bachelor's degree with high grades and has developed several projects involving machine learning, robotics, and web development. He has work experience in software engineering and is an active volunteer and teacher assistant in his university.

1. Bardia Abhari
Personal Data
Place and Date of Birth: Shiraz, Iran | 9 November 1996
Phone: +98 921 0901985
email: bardia.abhari13@gmail.com
Education
Current Shahid Beheshti University, Tehran, Iran
2015 Undergraduate student in Computer Engineering
GPA : 3.66 (Ranked 7th among class of 2019)
2015 Shahid Dastgheib High School, Shiraz, Iran
2011 Affiliated with the National Organization for the Development of
Exceptional Talents (NODET)
2011 Shahid Dastgheib Middle School, Shiraz, Iran
2008 Affiliated with the National Organization for the Development of
Exceptional Talents (NODET)
Projects
• B. Sc Thesis: Predictive Monitoring of Business Processes with LSTM (ongoing)
An Improved LSTM Approach for prediction of runtime of real-life processes outper-
forming current state of the art algorithms
• Persian Spam Detector Developed a CNN model with word vectors for detecting Per-
sian spam text messages with accuracy of 91.4 percent.
• AI Assistant
Developed an AI Assistant based on GoLang as a part of CafeBazaar Hackathon
• Kaggle MNIST DATA Set
Got the accuracy of 99.38 on the test data and had the rank of 700 in about 2700
participants. Using residual convolutional neural networks
• Quadcopter Radio Control
Developed a radio connection using LPC1768 and NRF Wireless Module to control a
Quadcopter and receive telemetry data and developed a flight control module in Python
• Object Detection System
Developed a pre-trained object detection system based on YOLO v2, for a Quadcopter
to detect objects mid-flight
• Self-Balancing Robot
Built a self-balancing two-wheel robot using brushless motors and self-developed PID
python module on RaspberryPi
• Clike Compiler
Developed a clike compiler using Java and JFlex
• Timash
E-Commerce Platform based on django rest framework

2. Coursework
• Machine Learning
– Deep Reinforcement Learning (Berkeley CS 294)
– CNNs for Visual Recognition (Stanford CS 231n)
– Deep Learning Specialization (Coursera)
– Data Mining Specialization of University of Washington (Coursera)
• Machine Learning Related Courses from Bachelor
– Computational Intelligance (1st in class - 18.1/20.0)
– Fundamentals of Data Mining (3rd in class - 16.5/20.0)
– Engineering Statics and Probability (2nd in class- 16/20)
volunteer work
2019 Shahid Beheshti University AI and Machine Learning club (SBU AMC)
2017 Senior Member
2019 Member of Shahid Beheshti University Robotics and AI Lab
2016 Robotics Control and Vission team member
2017 ”Danesh Hezare” student magazine
2016 Managing Editor
2019 SBU Web Development Team
2017 Director
current TEDx Tehran core team member
2018 Developer
Teaching Assistant Experience
• Probability and Statistics
Spring 2017 to Fall of 2018 (4 semesters)
• Compiler Design
Spring of 2018, Spring of 2019
• Algorithm Design
Fall of 2018, Spring of 2019
• Discrete mathematics
Spring of 2017 and 2018
• Introduction to Programming
Fall of 2017, 2018, 2019
• Advanced Programming
Spring of 2017, 2018, 2019

3. Honers and Awards
2017 Seventh Place
ACM Programming Contest, AmirKabir University
2016 Participant
ACM Regional Contest, South East Asia
2015 First Place
AI Challenge, Shahid Beheshti University
2010 First Place
Shiraz Regional Chess Championship
Work Experience
Current Cafe Bazaar ( ”Balad” Product )
2019 Software Engineer
• Developed multiple systems including ”User Traffic Reports Sys-
tem” and ”Points of Interest Gathering System” using Python and
GoLang.
2019 Co-Founder and Backend developer at Rondino Co.
2016 Backend Developer
2017 Software Developer at SiminSoftCo, Shiraz
2014 Application Designer and Web Designer
Publications
Gamifault: The gamification of software debugging. Accepted to 2018 International Confer-
ence on Computer Games, Challenges and Opportunities (cgco2018), Isfahan , Iran
Languages
Persian: Mothertongue
English: Fluent TOEFL Score: 109
French: Basic Knowledge
Technical Skills
Programming Languages
Python, Csharp , Javascript, C++ , Java, Pascal
Familiar Frameworks
TensorFlow, Keras, Django, ASP.Net, Angular6
Theoretical Background
Experienced in Algorithm Design, Data Structures, Graph Theory. Familiar with Probability
and Statistics, Complex Networks.
Operating Systems
Experienced Linux user; currently using Ubuntu but also comfortable with
Fedora and Microsoft Windows
Other Related Skills
Also Familiar with Docker and Git Version Control System, and certified Network+ profes-
sional.

4. Hobbies
• Playing guitar
• Reading classical novels
• Playing Basketball
• Working on cars