Omid Torkan

Experience

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  Esfahan Oil Refinery Company

  Jan 2012 - Jun 2012

  Part-time and project basis and Data Engineering – Internship (IT)
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  Tiva Sakt Parse

  Jan 2015 - Sept 2016

  Data Scientist

  Designed and implemented efficient data storage and retrieval processes, optimizing access to critical data and significantly reducing data processing times, resulting in a 20% improvement in reporting efficiency.Developed and deployed interactive Power BI dashboards to visualize key performance indicators (KPIs), track trends, and deliver actionable insights. These dashboards empowered stakeholders to make informed, data-driven strategic decisions.Collaborated with cross-functional teams to analyze energy production data, applying machine learning algorithms to identify optimization opportunities. Utilized predictive analytics to enhance forecasting accuracy, driving better decision-making in energy production planning. Show less

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  Persian Dej Company

  Oct 2016 - Sept 2017

  Data Engineer

  • Led data engineering projects, collaborating with cross-functional teams to deliver data solutions.• Utilized SQL and scripting languages for data transformation and preparation.• Improved pipeline efficiency through automation and performance optimization.

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  Outlier AI

  Feb 2025 - now

  AI Model Trainer & Software Engineer

  As an AI Model Trainer & Software Engineer at Outlier AI, I am responsible for training and optimizing large-scale AI models using advanced techniques such as Reinforcement Learning with Human Feedback (RLHF). My role involves working on improving the performance, transparency, and accuracy of Large Language Models (LLMs) by evaluating and fine-tuning responses generated by these models. Additionally, I have contributed to the Pegasus Project, where I worked on developing and enhancing natural language processing (NLP) models to improve the effectiveness of AI systems in real-world applications.I collaborate with cross-functional teams to deploy and maintain AI models in production environments, ensuring their scalability and efficiency.Key Responsibilities:Train and refine AI models using RLHF techniques, enhancing the models' ability to understand and generate contextually accurate responses.Develop and maintain software infrastructure for deploying AI models in cloud-based environments (primarily Azure).Evaluate and provide feedback on AI-generated responses to continuously improve model performance.Collaborate with engineers and product teams to integrate AI solutions into production environments.Contribute to the Pegasus Project, developing NLP models aimed at enhancing the capabilities of AI systems.Utilize advanced AI frameworks and cloud platforms to ensure the successful deployment and optimization of models. Show less

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  OpenTox

  Mar 2025 - now

  AI & Data Science

  🚀 AI & Data Science Intern – Toxicology & Risk Assessment @ OpenToxContributing to next-generation, AI-driven toxicology workflows aimed at improving regulatory decision-making and reducing reliance on animal testing.Key Contributions: ✔ Designing machine learning models to predict chemical toxicity using QSAR and PBPK data✔ Integrating and analyzing structured toxicology datasets via OpenTox REST APIs✔ Applying Explainable AI (XAI) methods such as SHAP and LIME to enhance model transparency✔ Collaborating with researchers to develop knowledge graphs and NLP pipelines for in silico safety assessments✔ Supporting open science projects focused on sustainability, AI ethics, and transparency in risk modelingTechnologies & Tools: Python, Pandas, Scikit-Learn, TensorFlow, XGBoost, Neo4j, Hugging Face, OpenTox API, Power BI, Matplotlib, Seaborn Show less