# Mojtaba Amini

- URL: https://mojtabaamini.com/cv-en
- Language: en
- Author: Mojtaba Amini, AI Software Engineer (Verona, Italy)

## Summary

AI Software Engineer with 8+ years of combined research and industry experience, focused on building intelligent, data-driven systems that improve efficiency, automation, and decision-making within real business contexts. Bridges research and production — from defining AI architectures and predictive models to shipping backend services and web applications that deliver measurable impact.

Over 3+ years shipping AI features in production across machine learning, deep learning, and process optimization, with a track record of integrating AI into backend services and frontend layers. Comfortable coordinating cross-functional teams and translating business problems into deployable tools.

## Experience

Jul 2026 — Present

Part-time · On-site

Sona, Veneto, IT

### AI Full Stack Developer

Studium Group

Backend developer on enterprise .NET applications, integrating AI into backend services to automate manual processes and optimize data handling — improving application performance, scalability, and reliability.

- Work on enterprise .NET applications within a team, improving performance, scalability, and reliability across backend architecture.
- Integrate AI into backend services to automate manual processes and optimize data handling.
- Contribute to an AI-powered document verification system that automates the review and validation of documents, alongside additional internal automation efforts.
- Translate business needs into robust, maintainable solutions spanning backend architecture, performance optimization, and applied AI.

Stack:

C# · .NET · AI Integration · Document AI · Process Automation · SQL · Backend Architecture

Apr 2026 — Present

Part-time · Hybrid

Mantua, IT

### 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.

Stack:

Python · Google Document AI · Gemini · OCR · SQL · API Development · Web Scraping

Apr 2026 — Present

Part-time · Hybrid

Mantua, IT

### 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.

Focus:

CRM Analysis · AI Prototyping · Product Direction · Workflow Automation · Business Analysis

Jul 2023 — Sep 2026

Full-time · Hybrid

Verona, IT

### 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.

Stack:

Python · .NET · Angular · Azure · RNN · Reinforcement Learning · LLMs · SQL

Mar 2024 — Dec 2025

Part-time · Hybrid

Verona, IT

### 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%.

Stack:

Python · DNN · GNN · LLMs · RAG

Oct 2023 — Feb 2024

Work Study · Hybrid

Cologne, DE

### 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.

Stack:

Python · Kubernetes · Cloud Computing · Data Mining

Mar 2023 — Aug 2023

Internship · On-site

Aachen, DE

### 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.

Stack:

Python · Cloud · CAN bus · Automation

Sep 2022 — Feb 2023

Part-time · On-site

Padua, IT

### 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.

Jul 2020 — Aug 2021

Full-time · On-site

Tehran, IR

### Embedded Software Engineer

Sharif University of Technology

Worked on an air-conditioning monitoring device in a university research environment, responsible for acquiring the sensor data and presenting it to users.

- Managed data acquisition from the device's environmental sensors.
- Processed, stored and logged the measurement data.
- Built the visualization to display air-conditioning readings clearly.
- Tested and debugged the data flow from device to display.
- Collaborated with researchers and students in a team setting.

Stack:

C · C++ · Python · Sensors · Microcontrollers · IoT · Data Acquisition · Data Visualization

Sep 2017 — Oct 2020

Full-time

Tehran, IR

### 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.

May 2016 — Oct 2016

Internship

Iran

### Engineering Intern

Mapna Turbine Manufacturing Co.

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

## Skills

- **Languages**: Python·C·C++·C#·R·SQL·Fortran·HTML / CSS
- **AI / ML**: Machine Learning·Deep Learning·RNN·DNN·GNN·Reinforcement Learning·LLMs·RAG·Object Detection·NLP
- **Frameworks**: PyTorch·TensorFlow·scikit-learn·.NET·Angular·FastAPI
- **Data & Tools**: SQL Databases·MongoDB·Power BI·Google Document AI·OCR·Web Scraping
- **Cloud / Ops**: Microsoft Azure·Kubernetes·API Development·Cloud Computing
- **Practice**: Product Management·UI/UX Prototyping·Requirements Definition·Stakeholder Communication·Financial Analysis·Process Automation·Embedded Systems & IoT
- **Languages spoken**: EnglishTOEFL 97 ItalianWorking PersianNative

## Education

Sep 2021 — Feb 2024

Padua, IT

### M.Sc. Data Science

Università degli Studi di Padova

Grade 26 / 30 — Machine Learning, Object Detection, Statistical Learning

Sep 2017 — Oct 2020

Tehran, IR

### M.Sc. Propulsion

Sharif University of Technology

Grade 17.4 / 20

Thesis on modeling LEM as a sub-model in RANS/LES for turbulent premixed combustion.

Sep 2013 — Sep 2017

Tehran, IR

### B.Sc. Aerospace, Aeronautical & Astronautical Engineering

Sharif University of Technology

Grade 16 / 20

Sep 2006 — Sep 2013

Iran

### High School Diploma — Math & Physics

Shahid Beheshti (SAMPAD / NODET)

Grade 19.3 / 20

## Selected Projects

### Daily Electricity Price & Demand Analysis

May — Jul 2022 · UniPD

EDA of electricity price and demand in Victoria, Australia; built a regression model to predict demand.

### Number Mind

Jun — Jul 2022 · UniPD

Knowledge & Data Mining final project — solving the Number Mind game.

### One-Layer NN training with Frank–Wolfe

Jun — Jul 2022 · UniPD

Assessed performance of the Frank–Wolfe method in a simple neural network for the Optimization for Data Science course.

### NLP with Disaster Tweets

Dec 2021 — Jan 2022 · UniPD

Built a model to classify disaster tweets for the Machine Learning course.

### Turbulent Premix Reactive Flow via LEM

Sep 2018 — Sep 2020 · Sharif

Added the LEM method to CANTERA and produced PDF and SDR outputs for a premix methane Bunsen burner.

### Conical Shock Tube Analysis

Mar — Jun 2019 · Sharif

Designed and simulated a conical shock tube in MATLAB, Ansys Fluent, Gambit, and Tecplot.

## Honors & Certifications

### Awards

- Angi Award National Association of Young Innovators · Dec 2023 Recognition in Italy for innovative contributions to management algorithms for SME manufacturing via Etwin (Dekali).
- Ranked 4 / 50 — Propulsion & Aerodynamics MS Sharif University of Technology · Sep 2019
- Master Entrance Exam — Rank 27 / 2,200+ Konkoor · May 2017
- Bachelor Entrance Exam — Rank 249 / 270,000+ Konkoor · May 2013
- Teaching Assistant Sharif University — Thermodynamics I, Heat Transfer, Fluid Dynamics I, Principles of Propulsion

### Certifications

- Power BI Essential Training LinkedIn Learning · Aug 2022
- Data Visualization & Dashboards (Excel + Cognos) Coursera · Nov 2020
- Getting and Cleaning Data Coursera · Nov 2020
- R Programming Coursera · Nov 2020
- Python Data Structures · Python for Data Science & AI Coursera · Oct 2020
- Databases and SQL for Data Science Coursera · Oct 2020
- Data Visualization with Python Coursera · Oct 2020
- CATIA Advance Course Jahad Daneshgahi Sharif · Sep 2016