Mojtaba Amini

Data Scientist

Adhoc SCF

Built an AI-powered automation system to modernize client portfolio analysis and reduce manual effort in extracting, validating, and reporting investment data.

• Processed PDFs, Excel, scanned documents, and images using OCR with Google Document AI and Gemini for document classification and structured data extraction.
• Delivered asset categorization, ISIN matching, web enrichment, KID document analysis, and cost extraction across heterogeneous sources.
• Contributed to database design for asset storage and historical tracking, ensuring data traceability and GDPR-compliant processing.
• Generated professional PDF/Excel benchmark reports with “Old vs New” validation; built a prototype application and API access layer for the full ingestion-to-reporting workflow.

AI Product & CRM Innovation Consultant

System Consulting Srl

Leading analysis and modernization of a CRM application for the finanza agevolata sector, introducing AI-driven features to improve internal workflows, data management, and user experience.

• Audit current CRM structure, identify improvement opportunities, and define AI use cases backed by lightweight prototypes.
• Set product direction, prioritize features, and coordinate execution across roles.
• Own requirement gathering, stakeholder communication, and prototype validation before development hand-off.

AI Software Engineer

Dekali (ex Virevo)

Designed and shipped AI capabilities embedded into enterprise software, spanning LLM assistants, predictive models, and reinforcement-learning schedulers in production.

• Built an LLM-based assistant integrated with .NET backend services to handle internal requests on quotations, orders, materials, and deliveries — improving coordination between sales and production teams.
• Designed predictive models for raw-material estimation using historical data, budget constraints, and supplier contracts; exposed outputs via .NET APIs consumed by web interfaces.
• Implemented RNN models to predict production phases and associated costs, visualized through Angular dashboards.
• Applied Reinforcement Learning to real-time production planning, generating adaptive schedules from operator skills, priorities, and machine availability.
• Built AI-driven process-optimization tools for bill-of-materials analysis, process forecasting, and document analysis on technical drawings to accelerate ERP integration.
• Automated daily/weekly stakeholder reporting on Microsoft Azure.

AI Software Developer

Extrema — Stairlifts & Vertical Platform Lifts

• Developed a DNN to predict optimal configuration of modular guide systems from technical specifications, automatically generating bills of materials and supporting fast, accurate sales quoting.
• Trained a GNN to learn product-component structure, enabling precise time and cost estimations for customer deliveries within minutes.
• Created an LLM-powered chatbot for client troubleshooting using internal manuals as knowledge source — cutting internal response time by over 60%.

Data Scientist

GreenPocket GmbH

• Developed a Python web application for streamlined Jira log access, improving team planning and visibility.
• Conducted data mining on check24.de, extracting and analyzing extensive energy usage data for strategic insights.
• Improved data accessibility for non-technical colleagues, fostering cross-functional collaboration.

Data Scientist

Voltfang

• Built a new testing module tailored to the battery testing department, in collaboration with the software team.
• Developed a CAN battery-data acquisition package to quickly assess performance and lifespan of energy storage systems.
• Automated generation of incoming-battery test reports and product compliance certificates.

Data Science Tutor

Università degli Studi di Padova

• Supported Data Science students with coursework and projects in SQL, R, MongoDB, and Python.
• Mentored students on practical skills relevant to future data-science work.

Research Assistant

Sharif University of Technology

• Implemented LEM (Linear Eddy Model) for turbulent premixed combustion via FVM to generate an innovative PDF for Large Eddy Simulation.
• Developed a new combustion-modeling method in the open-source CANTERA library using C++, Python, and Fortran.

Engineering Intern

Mapna Turbine Manufacturing Co.

• Specified detailed compressor washing-nozzle parameters and produced 2D engineering sketches.