Available to hire
I’m Hamid Ahmadzadegan, a Senior Data Scientist with over 18 years of experience in AI, ML, and software engineering, focusing on generative models (GANs), NLP, LLMs, RAG, and predictive analytics for fintech, trading, and legal tech. I specialize in deploying scalable machine learning solutions on the Azure cloud and have a proven track record of delivering business impact through AI-driven solutions.
I thrive on building robust, scalable AI systems and leading cross-functional teams to align AI development with business goals. I’m passionate about turning complex data problems into actionable insights and practical products that users love, from automated legal advice to intelligent trading strategies and voice-enabled interfaces.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Language
English
Advanced
Work Experience
Senior Data Scientist & Team Lead at AsanSabt
September 1, 2025 - October 24, 2025Developed an AI-driven LegalTech application providing automated legal advice using NLP models (initially LSTM, later enhanced with LLMs). Integrated speech-to-text and text-to-speech for voice-based interaction. Designed optimization models for dynamic pricing and smart allocation of marketing budgets across channels, maximizing ROI. Led a cross-functional team to ensure AI deliverables aligned with product strategy and operational priorities.
Senior Data Scientist / Product Manager at AsanBTC
March 20, 2020 - October 24, 2025Designed and deployed autonomous trading robots for forex and crypto markets using deep learning (LSTM, RNN, DNN) to enhance high-frequency trading and volatility prediction. Applied ensemble methods to improve model accuracy by ~14% and expand trade success. Used generative models to simulate market conditions, improving robustness. Built model deployment pipelines and risk/return metrics to guide investment decisions. Coordinated AI, software, and trading teams to align technical work with business goals.
Data Scientist at Parmis IT
March 1, 2016 - October 24, 2025Developed ML models to detect anomalies in financial transactions (fraud, AML, user error), increasing accurate detections by 20% and reducing false positives. Addressed severe class imbalance (≈99.98% normal) with synthetic data and tailored models. Built a robust model deployment pipeline that reduced update times by 30%.
Data Mining Specialist at Ghanoon, Online News Website
January 1, 2014 - October 24, 2025Built ML models to score articles by audience engagement and forecast views/feedback/time spent. Implemented a predictive model for views and engagement with mean error rate below 12% in forecasting feedback. Developed a generative model to suggest multiple headlines for each article.
Full Stack Developer at AsiaPardaz, Customized Software Development
February 1, 2010 - October 24, 2025Developed ~20 software solutions for finance, education, law, and other industries. Built scalable digital products, including stock alert systems, online learning platforms, and professional networks.
Senior Data Scientist & Team Lead at AsanSabt
April 1, 2020 - September 1, 2025Led development of an AI-driven LegalTech application for automated legal advice, leveraging LSTM-based NLP models and later expanding to retrieval-augmented generation (RAG) with large language models. Implemented speech-to-text and text-to-speech to support voice-based user interaction. Designed optimization models for dynamic pricing and smart allocation of marketing budgets across multiple channels, maximizing ROI on advertising spend. Developed intelligent incentive and discount strategies tailored to different customer segments, enhancing engagement and marketplace growth. Directed cross-functional teams, aligning AI development with product strategy and operational priorities.
Senior Data Scientist / Product Manager at AsanBTC
April 1, 2016 - March 1, 2020Designed and deployed autonomous trading robots for forex and cryptocurrency markets using advanced deep learning models (LSTM, RNN, DNN) to enhance high-frequency trading and volatility prediction. Applied ensemble learning to improve model accuracy by approximately 14% and increase trade success rates. Used generative models to simulate various market conditions, improving model robustness and decision-making under volatility. Designed model deployment pipelines to ensure rapid adaptation to market changes and continuous optimization of trading performance. Designed risk/return customized metrics to evaluate model quality and support investment decisions. Coordinated between AI, software engineering, and trading teams, managing product direction and aligning technical and business objectives.
Data Scientist at Parmis IT
February 1, 2014 - March 1, 2016Developed machine learning models and implemented complex algorithms to detect anomalies in financial transactions, including fraud, money laundering and user error, resulting in a 20 percent increase in accurate detections and a similar reduction in false positives. Addressed the class imbalance in the classification system (approximately 99.98% of transactions were normal and less than 0.02% were anomalous) by generating synthetic data, applying other techniques and using models tailored to imbalanced classes. Developed a robust model deployment pipeline that reduced model update times by 30%.
Data Mining Specialist at Ghanoon
March 1, 2010 - January 1, 2014Developed a comprehensive machine learning model to score articles and classifying them into four classes based on the quality of audience engagement. This system led to a 10% improvement in article quality after authors used it to evaluate their own work. Built a predictive model to forecast the number of views, feedback and average time spent by readers on each article using historical data, achieving a mean error rate of less than 12% in predictions. Also developed a generative model that suggests several headlines based on the content of a news item or article.
Full Stack Developer at AsiaPardaz
March 1, 2006 - February 1, 2010Developed about 20 different software solutions for various industries, including finance, education, and law. Built scalable digital products, including stock alert systems, online learning platforms, and professional social networks.
AI engineer at Workspace 365, Integrated work space in Netherlands
December 1, 2025 - PresentDeveloped a fully intelligent AI Assistant for the Workspace 365 platform, based on a Retrieval-Augmented Generation (RAG) architecture using OpenAI GPT-based LLMs. The RAG system leverages tens of thousands of heterogeneous files to deliver context-aware responses. Tech stack includes Python, SQL Server, Elasticsearch, LangChain, Pydantic, RabbitMQ, Redis, Prometheus, Azure DevOps, Hugging Face, and OpenAI API.
Senior Data Scientist & Team Lead at AsanSabt, LegalTech Application Development
April 1, 2020 - September 1, 2025Developed an AI-driven LegalTech application for automated legal advice, leveraging LSTM-based NLP models and later enhancing the system with LLMs in a RAG architecture. Implemented speech-to-text and text-to-speech functionality for voice-based interactions. Designed optimization models for dynamic pricing and smart marketing budget allocation, and led a technical team aligning AI development with business goals.
Senior Data Scientist / Product Manager at AsanBTC, Algorithmic Trading
April 1, 2016 - March 1, 2020Designed and deployed autonomous trading robots for forex and cryptocurrency markets using LSTM, RNN, and DNN models to enhance high-frequency trading and volatility prediction. Applied ensemble methods to improve model accuracy and trade success. Used generative models to simulate market conditions, and designed deployment pipelines and risk/return metrics to support investment decisions. Coordinated AI, software engineering, and trading teams.
Data Scientist at Parmis IT, Financial Management
February 1, 2014 - March 1, 2016Developed machine learning models to detect anomalies in financial transactions (fraud, money laundering, and user error), increasing accurate detections by ~20% and reducing false positives. Addressed class imbalance with synthetic data and built a robust deployment pipeline that reduced model update times by ~30%.
Data Mining Specialist at Ghanoon, Online News Website
March 1, 2010 - January 1, 2014Built ML models to score articles by engagement and guided classification into four quality classes, leading to a 10% improvement in article quality. Developed predictive models to forecast views, feedback, and reader time spent with mean error rate under 12%. Developed a generative model suggesting multiple headlines for articles.
Full Stack Developer at AsiaPardaz, Customized Software Development
March 1, 2006 - February 1, 2010Developed around 20 software solutions across finance, education, and law. Built scalable digital products including stock alert systems, online learning platforms, and professional social networks.
Education
B.S. in Software Engineering at Shamsipour Technical University
January 11, 2030 - October 24, 2025B.S. in Software Engineering at Shamsipour Technical University
January 11, 2030 - December 25, 2025B.S. in Software Engineering at Shamsipour Technical University
January 11, 2030 - February 1, 2026B.S. in Software Engineering at Shamsipour Technical University
January 11, 2030 - March 27, 2026Qualifications
Industry Experience
Financial Services, Software & Internet, Professional Services, Media & Entertainment, Other
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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