May 2022 – Present · 3 yrs 10 mos

Dec 2020 – Jul 2023 · 2 yrs 7 mos · Tehran Province, Iran

• Leading team of quantitative analysts to develop and validate statistical models
• used by asset manger to make investment and trading decisions
• Developing automated ETL pipelines for a wide variety of financial data sources
• including financial reports, market data and commodity prices
• Building new/ enhancing existing datamarts, financial market dashboards and
• stock screen reports using Dash Plotly or other similar data visualization tools
• Collaborating across business units and product teams to develop and execute
• the data platforms
• Participating in peer code reviews and collaborative development with other de-
• velopers, data engineers and quantitative finance analysts
• Creating data driven systematic trading strategies and reporting their backtest
• performance to asset manager

Dec 2019 – Dec 2020 · 1 yr · Tehran, Iran

• Developing and researching several passive investment strategies for large scale
• money management including index tracking and factor investing
• Researching analytical tools to address practical issues in finance such as portfolio
• construction
• Recommending software specifications and data collection methods
• Partnering with software development team members to support the develop-
• ment and implementation of portfolio management tools and processes such as
• trade execution system

Jan 2019 – Dec 2019 · 11 mos · Tehran, Iran

• Consulting theoretical and practical aspects of algorithm trading to senior man-
• agers
• Developing different types of investment strategies and reporting their perfor-
• mance
• Implementing automated market making with Tadbir OMS API
• Developing backtesting framework and Tehran Exchange Security database in-
• cluding historical price-volume, trades, shareholders and order book data

May 2017 – Jun 2018 · 1 yr 1 mo · Tehran Province, Iran

• Training deep learning models for object detection using Keras and Tensorflow
• for detecting number plates on traffic images
• Developing OCR models based on convolutional neural networks to read plate
• number
• Deploying deeplearning models on Android devices and embedded boards (Banana
• Pi, Raspberry Pi, etc.) with emphasis on real time implementation
• Deploying ML models using C++, Android and Python on several platforms like
• Linux and Android using Tensorflow and OpenCV libraries
• Researching and replicating state of the art techniques in the field of computer
• vision, ML and DL