Curriculum Vitae

York University – M.A.Sc in Electrical and Computer Engineering

• Supervised by Prof. Nikolaus Troje and co-supervised by Dr. Marcus A. Brubaker
• Thesis: Viewpoint synthesis for real-time applications in telecommunication
• GPA: 8.75 (9.0 scale)

University of Tehran – B.Sc. Electrical Engineering

• Supervised by Dr. Reshad Hoesseini.
• Thesis: Obtaining Car Specifications in License Plate Tracking System
• GPA: 18.59 (20.00 scale)
• Rank 3^rd out of approximate 110 undergraduate students.

University of Tehran – Minor. Computer Engineering

• GPA: 17.00 (20.00 scale)
• Passed a number of Computer Engineering Courses.

R&D intern at Ubisoft La Forge (Toronto)

• Designing a generative solution for constructing face models, reducing the time required for creating a face model by more than 90%..
• Integrated different generative models (GAN) in the pipeline, including StyleGAN, Real-ESRGAN, and Pix2Pix, implemented in Pytorch
• Executed model training for large-scale datasets on GPU cluster servers.
• Programmed an automated pipeline for artifact removal from a face model, eliminating human intervention and saving over 95% of processing time using Pytorch.
• Provided bi-weekly reports to managers, delivering updates on project progress and key metrics.
• Facilitated knowledge transfer sessions for new interns, imparting essential skills and insights to accelerate their onboarding process.
• Collaborated with a team of esteemed research scientists on multiple projects aimed at publishing papers in prestigious conferences

Research Assistant at BioMotion Lab / Computational Vision and Imaging Lab / Vector Faculty Affiliate Researcher.

• Advised by Prof. Nikolaus Troje & Dr. Marcus A. Brubaker
• Implemented a real-time pipeline for Novel View Synthesis for Telecommunication Systems with generative AI using Pytorch and OpenCV.
• Structured a real-time pipeline capable of swapping faces in a telecommunication system. [Demo]
• Communicated regularly by comprehensively documenting the latest findings (models, paper, algorithm) with supervisors.
• Stayed abreast of the latest advancements in the field by regularly reviewing and incorporating insights from newly published research papers into ongoing projects.

Research Assistant at HARA AI

• Supervised by Dr. Reshad Hosseini
• Collaborated with a team of Machine Learning Engineers to develop a Traffic violation verification system. [Project Page]
• Developed a deep network model, classifying color and vehicle type with 90.77% accuracy.
• Integrated Pytorch models to OpenCV (C++) to reduce the execution time by 75%.
• Maintained consistent communication with stakeholders through weekly reporting.

Internship at HARA AI

• Advised by Dr. Reshad Hosseini
• Contributed with the NLP research team to develop a speech-to-text (Persian Language) model for a Smart Call Center.
• Processed 5GB of unstructured textual data gathered from scrapping the newspaper website.
• Applied feature extraction techniques, specifically Mel-Frequency Cepstral Coefficients (MFCC) and Mel spectrogram, to analyze audio signals using the Librosa python library.

Developer Intern at TaarLab

• Advised by Dr. Mehdi Tale Masouleh
• Developing an application for controlling robots based on commands from a phone.
• Programming IR-sensor for detecting and measuring the robots movement.
• Improved the position accuracy by using IR sensors instead of motor encoders.

Project Manager

• Managed a team of 11 members from a broad range of disciplinaries.
• Had 2 site trips to the region, in order to fully understand the needs.
• Communicated with the Woburn Community members in weekly meetings to receive their feedback to achieve maximum satisfaction.
• Building two Compost Bins designed in a way that is best suited for the school children in the community.
• Provided Brochures and Education Materials to increase knowledge and awareness about composting.

• Mitacs Accelerate Fellowship Recipient ($30k). [link](2023)

• Awarded $6000 for York Graduate Scholarship (2021)

• Ranked 3^rd out of approximate 110 undergraduate students (Ranked 2nd in Control branch), school of Electrical and Computer Engineering, University of Tehran. (2020)
• Ranked 394^th among more than 156,000 participants in Nationwide Universities Entrance Exam (B.Sc.). (2016)
• Ranked 23^th in Sharif National Student Competition. (2015)
• Ranked 3^rd in the country at the second stage of Paya Scientific League in physics. (2015)

• TensorFlow Developer Professional Certificate (4 Courses)(link)
• Generative Adversarial Networks (GANs) Specialization (3 Courses)(link)
• Generative AI with Large Language Models(link)

• Google Data Analytics Professional Certificate (8 Courses) (link)

• Uplimit Building AI Products with OpenAI (link)

• Fundamentals of Accelerated Computing with CUDA Python (link)

• Data Visualization (link)

• Enterprise Design Thinking (link)

• Python, Matlab, C/C++.

• Pytorch, Keras, NumPy, scikit-learn, SciPy, Pandas.

• Microsoft Word, Microsoft Excel, Microsoft Powerpoint, LaTeX.

• BigQuery (SQL), HTML/CSS.

Master of Ceremonies (MC) for Toronto Machine Learning Society (TMLS)

• Master of Ceremonies at Toronto Machine Learning Summit, facilitating and introducing five talks, fostering an interactive learning environment and ensuring smooth event execution.

Executive Member of EECS Graduate Student Association

• Holding events and social gatherings.
• Presenting Seminars and talk.

Teacher for a Non Profit Organization

• Taught Physics for 3 hours per week in each class.
• Managed 4 different classes, each class was holding 20-30 students.
• Maintained a disciplined, productive environment in the classroom to ensure everyone learned.
• Guided them on how to manage their time to get results efficiently.