Available to hire
I am a machine learning developer with a Master’s degree in Computer Science, specializing in Deep Learning and Computer Vision. I have a solid background in software development and data science, with hands-on experience using Python and PyTorch.
I am skilled in optimizing AI/ML models and designing robust data pipelines to support research engineers. My ability to analyze complex problems and contribute to effective solutions makes me a strong candidate for a platform-focused role.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Language
English
Fluent
French
Beginner
Work Experience
Research Assistant at Concordia University
December 31, 2024 - September 24, 2025Conducted research on automated UI testing using deep learning, applying data science principles to infer GUI rendering and ensure high-quality software. Implemented and optimized various deep learning models (V-Transformers, V-Mamba, ResNet) for an automated UI testing platform, demonstrating a strong understanding of model development lifecycles from research to performance comparison.
Research Assistant at Concordia University
December 1, 2024 - September 24, 2025Conducted research on automated UI testing using deep learning; implemented and optimized various deep learning models (V-Transformers, V-Mamba, ResNet) for an automated UI testing platform, demonstrating model development lifecycle from research to performance comparison.
Research Assistant at Concordia University
December 1, 2024 - September 24, 2025Conducted research on automated UI testing using deep learning, applying data science principles to infer GUI rendering and ensure high-quality software. Implemented and optimized various deep learning models (V-Transformers, V-Mamba, ResNet) for an automated UI testing platform, demonstrating a strong understanding of model development lifecycles from research to performance comparison.
Research Assistant at Concordia University
December 1, 2024 - September 24, 2025Conducted research on automated UI testing using deep learning, applying data science principles to infer GUI rendering and ensure high-quality software. Implemented and optimized various deep learning models (V-Transformers, V-Mamba, ResNet) for an automated UI testing platform, demonstrating a strong understanding of model development lifecycles from research to performance comparison.
Research Assistant at Concordia University
December 1, 2024 - September 24, 2025Conducted research on automated UI testing using deep learning, applying data science principles to infer GUI rendering and ensure high-quality software. Implemented and optimized deep learning models (V-Transformers, V-Mamba, ResNet) for an automated UI testing platform, demonstrating end-to-end model development from research to performance comparison.
AI Model Trainer at Outlier
May 1, 2024 - PresentContributed to model deployment and performance monitoring by completing over 600 tasks to evaluate and refine LLM outputs, supervising contributors in image-to-text tasks as Reviewer and Oracle member; provided critical feedback on model performance and data pipeline integrity; focused on image-to-text tasks; worked on Hyperion project to assess and improve LLM-generated unit tests; enhanced LLM-generated algorithmic solutions and validated unit tests.
AI Model Trainer at Outlier
May 1, 2024 - PresentContributed to model deployment and performance monitoring by completing over 600 tasks to evaluate and refine LLM outputs, directly influencing model quality and efficiency. Served as a Reviewer and Oracle member (average rating 4+/5), supervising contributors in image-to-text tasks. Provided critical feedback on model performance for image-to-text tasks, ensuring data pipeline integrity and improving output quality through meticulous prompt design. Focused on image-to-text models (~300 tasks), ensuring prompt clarity and output alignment. Hyperion Project (150 tasks): Assessed and improved LLM-generated unit tests for coverage and quality in Python, Go, TypeScript, and C++. Perfect Assertions (100 tasks): Enhanced LLM-generated algorithmic solutions and validated unit tests, comparing results with DeepSeek. Texudo V3 (50 tasks): Directed models to generate structured and functional Next.js code for SPA user interfaces.
AI Model Trainer at Outlier
May 1, 2024 - PresentContributed to model deployment and performance monitoring by completing over 600 tasks to evaluate and refine LLM outputs, directly influencing model quality and efficiency. Served as a Reviewer and Oracle member (average rating 4+/5), supervising contributors in image-to-text tasks. Provided critical feedback on model performance for image-to-text tasks, ensuring data pipeline integrity and improving output quality through meticulous prompt design. Focused on image-to-text models (~300 tasks), ensuring prompt clarity and output alignment. Hyperion Project (150 tasks): Assessed and improved LLM-generated unit tests for coverage and quality in Python, Go, TypeScript, and C++. Perfect Assertions (100 tasks): Enhanced LLM-generated algorithmic solutions and validated unit tests, comparing results with DeepSeek. Texudo V3 (50 tasks): Directed models to generate structured and functional Next.js code for SPA user interfaces.
AI Model Trainer at Outlier
May 1, 2024 - PresentContributed to model deployment and performance monitoring by completing over 600 tasks to evaluate and refine LLM outputs, directly influencing model quality and efficiency. Served as a Reviewer and Oracle member (average rating 4+/5), supervising contributors in image-to-text tasks. Provided critical feedback on model performance for image-to-text tasks, ensuring data pipeline integrity and improving output quality through meticulous prompt design. Focused on image-to-text models (~300 tasks), ensuring prompt clarity and output alignment. Worked on Hyperion (150 tasks) to assess and improve LLM-generated unit tests across Python, Go, TypeScript, and C++. Enhanced LLM-generated algorithmic solutions and validated unit tests by comparing results with DeepSeek. Directed Texudo V3 (50 tasks) to generate structured and functional Next.js code for SPA UIs.
AI Model Trainer at Outlier
May 1, 2024 - PresentContributed to model deployment and performance monitoring by completing over 600 tasks to evaluate and refine LLM outputs, supervising contributors in image-to-text tasks, and improving data pipelines. Worked on unit tests and prompt design across multiple languages; directed model tasks including image-to-text projects and Next.js code generation.
Full Stack Web Developer at Remote
June 30, 2022 - September 24, 2025Built and deployed 50+ custom websites and web applications for a variety of clients across different industries. Projects include Telegram chat bots, blog platforms, real estate websites, and a personal wallet app.
Full Stack Web Developer at Remote
June 1, 2022 - September 24, 2025Built and deployed 50+ custom websites and web applications for clients across multiple industries; projects included Telegram chat bots, blogs, real estate websites, and a personal wallet app; used Django, REST API, React, and Next.js for end-to-end development and deployment.
Full Stack Web Developer at Remote
June 1, 2022 - September 24, 2025Built and deployed 50+ custom websites and web applications for clients across industries. Projects included Telegram chat bots, blogs, real estate websites, and a personal wallet app. Technologies: Django, REST API, React, Next.js, and Electron.
Full Stack Web Developer at Remote
June 1, 2022 - September 24, 2025Built and deployed 50+ custom websites and web applications for a variety of clients across different industries. Projects include Telegram chat bots, blog platforms, real estate websites, and a personal wallet app.
Full Stack Web Developer at Remote
June 1, 2022 - September 24, 2025Built and deployed 50+ custom websites and web applications for clients across different industries. Projects include Telegram chat bots, blog platforms, real estate websites, and a personal wallet app.
Electronics & Embedded Systems Engineer at Remote
June 30, 2019 - September 24, 2025Designed and developed circuit boards for embedded systems. Programmed AVR and STM32 microcontrollers for real-time data processing.
Electronics & Embedded Systems Engineer at Remote
June 1, 2019 - September 24, 2025Designed and developed circuit boards for embedded systems; programmed AVR and STM32 microcontrollers for real-time data processing.
Electronics & Embedded Systems Engineer at Remote
June 1, 2019 - September 24, 2025Designed and developed circuit boards for embedded systems. Programmed AVR and STM32 microcontrollers for real-time data processing.
Electronics & Embedded Systems Engineer at Remote
June 1, 2019 - September 24, 2025Designed and developed circuit boards for embedded systems. Programmed AVR and STM32 microcontrollers for real-time data processing.
Electronics & Embedded Systems Engineer at Remote
June 1, 2019 - September 24, 2025Designed and developed circuit boards for embedded systems. Programmed AVR and STM32 microcontrollers for real-time data processing.
Research Assistant at Yazd University
October 31, 2017 - September 24, 2025Improved Visual Object Tracking accuracy by 10% using CNN-based deep learning model. Implemented VGG-16 and AlexNet architectures to handle occlusion, motion blur, and scale variations.
Research Assistant at Yazd University
October 1, 2017 - September 24, 2025Improved Visual Object Tracking accuracy by 10% using CNN-based deep learning model; implemented VGG-16 and AlexNet architectures to handle occlusion, motion blur, and scale variations.
Research Assistant at Yazd University
October 1, 2017 - September 24, 2025Improved Visual Object Tracking accuracy by 10% using CNN-based deep learning model. Implemented VGG-16 and AlexNet architectures to handle occlusion, motion blur, and scale variations.
Research Assistant at Yazd University
October 1, 2017 - September 24, 2025Improved Visual Object Tracking accuracy by 10% using CNN-based deep learning model. Implemented VGG-16 and AlexNet architectures to handle occlusion, motion blur, and scale variations.
Research Assistant at Yazd University
October 1, 2017 - September 24, 2025Improved Visual Object Tracking accuracy by 10% using CNN-based deep learning model. Implemented VGG-16 and AlexNet architectures to handle occlusion, motion blur, and scale variations.
Education
MSc in Computer Science at Concordia University
September 1, 2022 - December 1, 2024MSc in Electrical Engineering, Telecommunication at Yazd University
September 1, 2014 - October 1, 2017BSc in Electrical Engineering, Electronics at Isfahan University
September 1, 2008 - September 1, 2012MSc in Computer Science at Concordia University
September 1, 2022 - December 1, 2024MSc in Electrical Engineering (Telecommunication) at Yazd University
September 1, 2014 - October 1, 2017BSc in Electrical Engineering (Electronics) at Isfahan University
September 1, 2008 - September 1, 2012MSc in Computer Science at Concordia University
September 1, 2022 - December 1, 2024MSc in Electrical Engineering (Telecommunication) at Yazd University
September 1, 2014 - October 1, 2017BSc in Electrical Engineering (Electronics) at Isfahan University
September 1, 2008 - September 1, 2012MSc in Computer Science at Concordia University
September 1, 2022 - December 31, 2024MSc in Electrical Engineering (Telecommunications) at Yazd University
September 1, 2014 - October 31, 2017BSc in Electrical Engineering (Electronics) at Isfahan University
September 1, 2008 - September 1, 2012MSc in Computer Science at Concordia University
September 1, 2022 - December 1, 2024MSc in Electrical Engineering (Telecommunication) at Yazd University
September 1, 2014 - October 1, 2017BSc in Electrical Engineering (Electronics) at Isfahan University
September 1, 2008 - September 1, 2012Qualifications
Industry Experience
Software & Internet, Education, Media & Entertainment, Professional Services, Telecommunications, Real Estate & Construction, Computers & Electronics
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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