Available to hire
I am an experienced AI & Machine Learning Engineer with a passion for creating interpretable models and scalable solutions. My focus is on explainable AI, risk modeling, and natural language processing. I enjoy collaborating with teams to build innovative AI systems that tackle real-world problems. Outside of work, I am constantly exploring new technologies and methodologies to enhance my skills and contribute meaningfully to the field.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
English
Fluent
German
Beginner
Persian
Fluent
Work Experience
AI & Data Science Intern at OpenTox
March 1, 2025 - PresentDeveloped AI-powered predictive models for chemical toxicity and risk assessment using QSAR, PBPK, and in silico data. Enhanced regulatory decision-making workflows with Explainable AI techniques such as SHAP and LIME. Integrated OpenTox APIs for toxicological data retrieval and processing. Applied machine learning and deep learning methods including Random Forests, XGBoost, and Neural Networks to support chemical safety evaluations. Contributed to open science and FAIR data initiatives by creating reproducible pipelines for data-driven toxicology research.
AI Model Trainer & Software Engineer at Outlier AI
February 1, 2025 - PresentTrained and refined AI models using Reinforcement Learning with Human Feedback (RLHF) to optimize Large Language Models for performance and accuracy. Developed AI models for the 'geese_screening' project focused on AI transparency, interpretability, and response improvements. Contributed to the Pegasus project generating high-quality coding prompts to enhance language model reliability. Managed software infrastructure for cloud deployment on Azure. Evaluated and improved model transparency, accuracy, and interpretability. Collaborated with cross-functional teams on model integration and scalability.
Data Scientist (Thesis Project) at University of Milan
December 1, 2024 - August 4, 2025Developed recurrent neural network models for sentiment analysis and text classification, increasing classification accuracy by 10%. Managed data preprocessing, model training, and evaluation workflows to ensure high performance. Applied Python-based interpretability methods to enhance model transparency by 20%.
Data Scientist at Tiva Sakt Parse Company
September 1, 2016 - August 4, 2025Designed and maintained efficient data storage and retrieval processes, improving reporting efficiency by 20%. Developed interactive dashboards in Power BI to visualize trends and track KPIs for strategic decision-making. Collaborated with cross-functional teams to analyze energy production data and enhance forecasting accuracy.
Data Engineer at Persian Dej Company
September 1, 2017 - August 4, 2025Led data engineering projects automating ETL pipelines with Python and SQL, reducing data processing times by 30%. Designed scalable data architecture integrating multiple data sources, improving system reliability by 25%. Delivered automated reports and data-driven insights supporting strategic business decisions.
AI & Data Science Intern at OpenTox
March 1, 2025 - PresentDevelop AI-powered predictive models for chemical toxicity and risk assessment using QSAR, PBPK, and in silico data. Enhance regulatory decision-making workflows implementing Explainable AI techniques such as SHAP and LIME. Integrate and query OpenTox APIs to retrieve, process, and analyze toxicological datasets. Apply machine learning and deep learning approaches including Random Forests, XGBoost, and Neural Networks to support chemical safety evaluations. Contribute to open science and FAIR data initiatives by building reproducible pipelines for data-driven toxicology research.
AI Model Trainer & Software Engineer at Outlier AI
February 1, 2025 - PresentTrain and refine AI models using Reinforcement Learning with Human Feedback (RLHF), optimizing Large Language Models (LLMs) for better performance and accuracy. Developed and evaluated AI models for the 'geese_screening' project enhancing AI transparency, interpretability, and model responses using human feedback. Contributed to the Pegasus project focused on generating high-quality coding prompts to improve LLM performance. Develop and maintain software infrastructure for model deployment on cloud platforms like Azure. Collaborate with cross-functional teams to ensure optimal deployment and scalability of AI models.
Data Scientist (Thesis Project) at University of Milan
December 1, 2024 - August 4, 2025Developed RNN models for sentiment analysis and text classification, increasing classification accuracy by 10%. Implemented data preprocessing, model training, and evaluation workflows to ensure high model performance. Introduced Python-based interpretability methods to enhance algorithm transparency, improving model interpretability by 20%.
Data Scientist at Tiva Sakt Parse Company
September 1, 2016 - August 4, 2025Designed and maintained efficient data storage and retrieval processes that improved reporting efficiency by 20%. Developed interactive Power BI dashboards to visualize trends and KPIs, providing actionable business insights. Collaborated with cross-functional teams to analyze energy production data, identify optimization opportunities, and enhance forecasting accuracy.
Data Engineer at Persian Dej Company
September 1, 2017 - August 4, 2025Led data engineering projects automating ETL pipelines using Python and SQL, reducing processing times by 30%. Designed scalable data architectures integrating diverse data sources to improve reliability by 25%. Delivered data-driven insights and automated reports that enabled strategic decision-making.
AI Model Trainer & Software Engineer at Outlier AI
February 1, 2025 - PresentTraining and refining AI models using Reinforcement Learning with Human Feedback (RLHF) to optimize Large Language Models for improved performance and accuracy. Developed AI models in projects such as 'geese_screening' to enhance transparency and interpretability using human feedback, and contributed to the Pegasus project focused on generating creative coding prompts. Maintained cloud deployment infrastructure on Azure and collaborated with cross-functional teams to ensure scalable production integration. Provided ongoing evaluation and feedback to improve model transparency, accuracy, and interpretability.
AI & Data Science Intern at OpenTox
August 1, 2025 - September 5, 2025Developed AI-powered predictive models for chemical toxicity and risk assessment using QSAR, PBPK, and in silico data. Enhanced regulatory workflows by applying Explainable AI techniques including SHAP and LIME. Integrated and queried OpenTox APIs for toxicological data retrieval and analysis. Employed machine learning and deep learning methods such as Random Forests, XGBoost, and Neural Networks to support chemical safety evaluations. Contributed to open science initiatives by building reproducible data-driven toxicology research pipelines.
Data Scientist at University of Milan (Thesis Project)
December 1, 2024 - September 5, 2025Developed recurrent neural network models for sentiment analysis and text classification, achieving a 10% increase in classification accuracy. Implemented data preprocessing, model training, and evaluation workflows ensuring robust model performance. Enhanced algorithm transparency with Python-based interpretability methods, improving interpretability metrics by 20%.
Data Scientist at Tiva Sakt Parse Company
September 1, 2016 - September 5, 2025Designed and maintained efficient data storage and retrieval processes, improving reporting efficiency by 20%. Created interactive dashboards using Power BI to visualize trends and track KPIs, delivering actionable insights for strategic decisions. Collaborated with cross-functional teams to analyze energy production data and improve forecasting accuracy.
Data Engineer at Persian Dej Company
September 1, 2017 - September 5, 2025Led data engineering projects to automate ETL pipelines with Python and SQL, reducing data processing times by 30%. Designed scalable and reliable data architectures integrating diverse data sources, enhancing system reliability by 25%. Delivered data-driven insights and automated reports to support strategic business decision-making.
Data Scientist at Tiva Sakt Parse Company
January 1, 2015 - September 1, 2016Designed and maintained data storage and retrieval procedures; built interactive dashboards to monitor KPIs and trends; collaborated with cross-functional teams to analyze energy production data and improve forecasting accuracy.
Data Engineer at Persian Dej Company
October 1, 2016 - September 1, 2017Led data engineering projects, automated ETL pipelines with Python, SQL and Databricks (Spark, Delta Lake, MLflow); designed scalable data architectures integrating diverse sources; delivered automated reports and data-driven insights to support strategic decisions.
Education
MSc in Computer Science at University of Milan
January 11, 2030 - December 1, 2024BSc in Software Engineering at Azad University
January 11, 2030 - January 1, 2012MSc in Computer Science at University of Milan
January 11, 2030 - December 1, 2024BSc in Software Engineering at Azad University
January 11, 2030 - January 1, 2012MSc at University of Milan
January 11, 2030 - December 1, 2024BSc at Azad University
January 11, 2030 - January 1, 2012MSc in Computer Science at University of Milan
January 11, 2030 - December 1, 2024BSc in Software Engineering at Azad University
January 11, 2030 - January 1, 2012MSc in Computer Science at University of Milan
January 11, 2030 - December 1, 2024BSc in Software Engineering at Azad University
January 1, 2012 - January 1, 2012MSc in Computer Science at University of Milan
January 11, 2030 - December 1, 2024BSc in Software Engineering at Azad University
January 11, 2030 - January 1, 2012MSc in Computer Science at University of Milan
January 1, 2022 - December 31, 2024BSc in Software Engineering at Azad University
January 1, 2008 - January 1, 2012MSc in Computer Science at University of Milan
January 1, 2022 - December 31, 2024BSc in Software Engineering at Azad University
January 1, 2008 - January 1, 2012Qualifications
Introduction to Git and GitHub
January 1, 2025 - August 4, 2025Natural Language Processing with Probabilistic Models
January 1, 2025 - August 4, 2025Supervised Machine Learning: Regression and Classification
January 1, 2023 - August 4, 2025Introduction to Git and GitHub
January 1, 2025 - August 4, 2025Natural Language Processing with Probabilistic Models
January 1, 2025 - August 4, 2025Supervised Machine Learning: Regression and Classification
January 1, 2023 - August 4, 2025Introduction to Git and GitHub
January 1, 2025 - September 5, 2025Natural Language Processing with Probabilistic Models
January 1, 2025 - September 5, 2025Supervised Machine Learning: Regression and Classification
January 1, 2023 - September 5, 2025Industry Experience
Healthcare, Life Sciences, Software & Internet, Professional Services, Education, Media & Entertainment, Computers & Electronics
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Hire a AI Engineer
We have the best ai engineer experts on Twine. Hire a ai engineer in Rome today.