Amir Cheraghi

Experience

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  Financial Markets

  Sept 2013 - Feb 2019

  Trader, Analyst, Algorithm Developer

  • Gained expertise in financial markets since 2013, starting with the stock market before expanding into forex trading.• Studied technical analysis methodologies, including CFTE exam materials, Elliot waves, and price action strategies.• Developed a trading algorithm based on moving averages for my undergraduate thesis and implemented advanced Martingale-based strategies using MQL.• Transitioned to Python for financial analysis, leveraging its capabilities for data-driven trading strategy development.• Continuously expanding knowledge in fundamental analysis, option valuation, and algorithmic trading systems through ongoing coursework and research. Show less

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  BimehGar Insurance Co.

  Mar 2016 - Mar 2019

  Software Engineer & Data Engineer

  As a Software & Data Engineer at Bimehgar, I was responsible for designing and implementing data-driven solutions to enhance the company's digital insurance platform. My role involved building scalable data pipelines, developing APIs, and automate key business processes.• Designed and developed data collection pipelines to aggregate and process insurance data from multiple sources.• Built and optimized recommendation algorithms to enhance the user experience for insurance plan selection.• Implemented real-time data processing solutions to handle high-volume user interactions on the platform.• Developed and maintained REST APIs for seamless integration of data across different services.• Designed and deployed scalable database architectures for handling large datasets.• Used Python, PostgreSQL, Redis, Django, Celery, and web scraping to support business intelligence and analytics.• Led the development of a data-driven platform that improved efficiency in the online insurance market.• Recruited and managed teams of specialists with diverse skill sets to ensure efficient and effective operations. Show less

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  AkafWeb

  Apr 2019 - Dec 2020

  Data Engineer, Algorithm Developer

  AKAF International Group specializes in providing data-driven solutions for various industries, including financial markets:• Designed and implemented data pipelines to collect, preprocess, and analyze financial market data for algorithmic trading.• Engineered and maintained real-time data streaming and storage solutions to support automated trading systems.• Built and modified custom indicators for data-driven strategy optimization, integrating feature engineering techniques to enhance predictive accuracy.• Implemented API-based data integration to ensure seamless access to historical and live market data for analytical models.• Developed advanced backtesting frameworks to evaluate the efficiency and robustness of trading algorithms using large-scale datasets.• Developed and coded a variety of trading plans and strategies as requested by financial market specialists, enabling automated analysis and discovery of trading positions or patterns by trading robots.• Coded new indicators or modified existing ones, then combined them to create innovative trading strategies tailored to specific preferences and requirements. also created algorithms to identify patterns and trends in the market• Programmed custom code for specialized trading strategies, including Martingale, Grid, or indicator-based strategies, incorporating unique features and capabilities as requested. Show less

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  Shahr Financial Group (SFG)

  Dec 2020 - Oct 2023

  Data Engineer

  SFG is a leading asset management and portfolio optimization company in Iran's investment industry. I worked in the R&D department, where we developed and implemented cutting-edge algorithmic trading and analysis software. My key contributions included:• Designed and implemented a distributed system to collect data from multiple sources efficiently.• Developed a local storage mechanism with gradual data transfer to a central database via API.• Automated the entire data ingestion process by deploying a ledger system to track and control all system activities.• Implemented a task-based scheduling system, allowing tasks to run at specific intervals with varying frequencies and priorities• Built an error-handling system to log failures and automatically retry unsuccessful tasks• Leveraging cutting-edge technologies such as Python, Django, Celery, Celery Beat, Redis, PostgreSQL, Linux Server, Docker, Supervisor, web scraping and Celery Flower, we successfully implemented this project.• Achieved a high-performance, distributed, and task-oriented data pipeline, significantly reducing processing delays compared to industry standards.• Enabled the company to seamlessly expand its operations by integrating this robust data infrastructure with other key systems, including business intelligence dashboards and algorithmic trading platforms. Show less

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  Tradeset

  Nov 2023 - Dec 2024

  Implemented feature computation using the Polars library, harnessing its superior speed and parallelprocessing capabilities. This transition from Pandas led to a substantial boost in computationalefficiency, ultimately enhancing the overall performance of the system.• Developed and integrated new features to help the AI model identify profitable trading opportunitiesin the forex market, while also fine-tuning and enhancing existing features for better accuracy andrelevance in market analysis.• Utilized the following technologies: Python, Polars, Random Forest, Xgboost, Redis Show less

  • Data Engineer

    Mar 2024 - Dec 2024

  • Feature engineer

    Nov 2023 - Mar 2024
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  The Global Centre for Risk and Innovation (GCRI)

  Jan 2025 - now

  Developer