Experience

SenseNet Inc.

• Canada
• Wireless Services
• 1 - 100 Employee

• Applied Scientist

  • Sep 2023 - Present

  Vancouver, British Columbia, Canada



Cryptoworth

• Canada
• Software Development
• 1 - 100 Employee

• Data Engineer

  • Apr 2023 - Aug 2023

  Toronto, Ontario, Canada • Integration of new blockchains and exchanges into the existing system, leveraging the Laravel framework and PHP while also utilizing SQL for database operations. • Demonstrated resilience and adaptability by successfully handling multiple integrations simultaneously under high-pressure deadlines. • Established robust error-handling mechanisms and data validation procedures, ensuring the accuracy and reliability of transactional data despite the challenging environment.



Covalent

• United States
• Research Services
• 1 - 100 Employee

• Machine Learning Engineer

  • Jan 2023 - Mar 2023

  Vancouver, British Columbia, Canada • Researched and deployed different applications of generative models in a 3-month project. • Researched different image generative models (Stable Diffusion, GAN-based, and VAE-based) to increase the number of images in NFT collections. • Researched and deployed different text generative models to convert queries in natural language to SQL.



Traxe Technologies

• Canada
• Information Technology & Services
• 1 - 100 Employee

• Mitacs Research Intern

  • Feb 2022 - Dec 2022

  Vancouver, British Columbia, Canada • Developed an MVP for blockchain-based food provenance authenticity (Solidity, React, IPFS and Node JS, CSS, HTML). • Implemented the solution on the Polygon network based on the company’s requirements (ERC 721 NFT standard). • Deployed the web application (Dapp) to the company’s website.



The University of British Columbia

• Canada
• Higher Education
• 700 & Above Employee

• Machine Learning Researcher

  • Sep 2020 - Aug 2022

  Vancouver, British Columbia, Canada • Researched privacy-preserving machine learning applications for electrical energy forecasting. • Applied state-of-art models in time series forecasting like GNN and Transformer to a dataset and improved the previous results (Pytorch, Pytorch Lightning). • Applied federated learning technique to preserve the user’s privacy with less than 8% RMSE increase compared to centralized learning (Flower Framework, PySyft).



Lifeguard Digital Health

• Canada
• IT Services and IT Consulting
• 1 - 100 Employee

• Mitacs Research Intern

  • May 2021 - Aug 2021

  Vancouver, British Columbia, Canada • Implemented a blockchain-based solution for the company’s mobile app (Solidity, Geth, and Node JS). • Evaluated different blockchain networks and the solution implemented on the private network ran by Go implementation of Ethereum (Geth). • Implemented other parts of the solution, including Google text-to-speech API (JavaScript).



Self-employed

• Real Estate
• 1 - 100 Employee

• Stock Market & Forex Trader

  • Sep 2018 - Sep 2020

  Tehran, Tehran Province, Iran



Amirkabir University of Technology - Tehran Polytechnic

• Iran
• Higher Education
• 700 & Above Employee

• Machine Learning Researcher

  • Sep 2019 - Aug 2020

  • Researched the applications of machine learning in stock market prediction. • Applied State-of-art models in the field of time series prediction to randomly selected stocks (Keras, Tensorflow). • Added additional features to the raw stock’s price to improve the accuracy of predictions (Numpy, Pandas).