CV

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Education

M.S. in Artificial Intelligence, University of Tehran, 2020 - 2022
B.S. in Computer Software Engineering, Amirkabir University of Technology - Tehran Polytechnic, 2015 - 2020

Research Assistant at Computational Audio-Vision Lab, June 2021 - Present
- Researching on causal discovery algorithms using continuous optimization methods under supervision of Dr. Reshad Hosseini and Dr. Mostafa Tavassolipour; Trying to introduce a new optimization method.
Bachelor Thesis: Person-Recognition, Spring 2020
- Designed and implemented Person Recognition System as Person Attendance Tracker using face recognition methods to track and record person’s identities in the videos captured from security cameras. Achieved more than 90% tracking and recognition accuracy in non-occluded and more than 80% in occluded areas. (Link)

Ali Izadi, Systematic Review of Causal Discovery using continuous optimization. Reformulating causal discovery as a graph matching problem., 2022, (Link))
Conducted as a systematic review for my seminar course in artificial intelligence and also proposed a new reformulation of linear causal discovery.
Ali Izadi, Causal Normalizing Flow, Blog Post, 2022, (Link)
Proposed and implemented experiments on how normalizing flow can help causal dis- covery

Data Analytics Bootcamp: Mentor - University of Tehran- July 2022
Collaborated with a group of mentors educating around 80 students for more than 10 data science workshops. (GitHub-Link)
Probabilistic Programming, Modeling the world through Uncertainty: Workshop Instructor - August 2021
Amirkabir Artificial Intelligence Student Summit. (Slides/Codes) (Post)
Instructed more than 50 students in a 2 hours workshop.
Machine Learning Interpretability: Presenter - November 2019
Students’ Scientific Chapter of CEIT of Amirkabir University of Technology. (slides)
Probability and Statistics: Teaching Assistant - Spring 2018
Amirkabir University of Technology

Ranked 1238 in the National University Entrance Exam among 160,000 students.
Ranked 41 in the Master of Science University Entrance Exam among 6700 students.

Data Scientist, August 2020 - May 2021: ParticleB
- Conducted research on Financial machine learning including algorithmic trading parameter optimization in crypto-currency markets. Accomplished full automation and increased performance by more than 20%.
- Implemented the algorithmic trading evaluation system that leads a 50% reduction on running time and development cost.
Data Developer, July 2018 - May 2020: Miras Technologies
- Researched on different algorithmic trading problems including portfolio management, time series analysis, and parameter optimization using python.
- Designed and implemented the web crawling system and automatic web page content extraction using Scala. Attained more than 90% accuracy.
- Developed software based on functional design and big data technologies including Apache Kafka and Redis using Scala and Akka stream.

Languages: Python, Scala, Typescript
Frameworks and Tools: Expert at Pytorch, Scikit-Learn, Pandas, Numpy, Matplotlib
Development: Linux, Bash, Kafka, Docker, MongoDb, PostgreSQL, Angular