At a glance
- Role
- AI Software Engineer and Full Stack Developer; AI consultant for companies
- Product
- Agent Flow Bind (agentflowbind.com): an AI agent platform for documents, phone and finance, which he designed and built
- Based in
- Verona, Italy
- Experience
- 8+ years across research and industry, including 3+ years shipping AI features to production
- Specialisms
- Automatic document data extraction, LLM assistants and RAG, AI voice agents, process automation, predictive models and reinforcement learning for manufacturing, embedded systems and IoT with sensor data acquisition
- Technology
- Python, C and C++, C# and .NET, Angular, PyTorch, TensorFlow, Microsoft Azure, Google Cloud, Google Document AI, Arduino and microcontrollers, CAN bus, I²C
- Education
- M.Sc. in Data Science (University of Padua); M.Sc. in Propulsion and B.Sc. in Aerospace Engineering (Sharif University of Technology)
- Languages
- Persian (native), English, Italian
Career
- Aug 2026 – presentDesigns and builds Agent Flow Bind, a platform of ready-made AI agents: 23 templates for electrical contractors, law firms, finance, quotes and phone, with a public API and a live demo. See the project.
- 2026 – presentAI Full Stack Developer at Studium Group (AI document verification in a .NET backend), Data Scientist for Adhoc SCF (financial document extraction with Google Document AI and Gemini) and AI consultant for System Consulting (modernising a CRM for subsidised finance).
- 2023 – 2026AI Software Engineer at Dekali, Verona: an LLM assistant, predictive models, recurrent neural networks and a reinforcement-learning scheduler built into a manufacturing ERP.
- 2024 – 2025AI Software Developer for Extrema: a neural-network and graph-neural-network configurator for delivery time and cost, and a chatbot on technical manuals that cut internal response times by 60%.
- 2023 – 2024Data Scientist in Germany: Voltfang in Aachen (CAN-bus battery analytics and automated certification) and GreenPocket in Cologne (reporting and energy data mining).
- 2021 – 2024M.Sc. in Data Science at the University of Padua, where he also tutored Data Science students.
- 2013 – 2021B.Sc. and M.Sc. at Sharif University of Technology; research assistant in computational fluid dynamics, adding a combustion model to the open-source CANTERA library; embedded software engineer on an IoT monitoring device.
Awards and publications
- Angi Award (Italian National Association of Young Innovators, December 2023): recognition for innovative contributions to production-management algorithms for SME manufacturing, via Etwin (Dekali).
- Co-author of the peer-reviewed paper “Advancements in Pulsating Heat Pipes: Exploring Channel Geometry and Characteristics for Enhanced Thermal Performance”.
Embedded, research and academic projects
- A digital glucose meter prototype on Arduino, with an INA219 current sensor on I²C and an LCD (2020).
- A CanSat telemetry ground station for the AIAA competition, in JavaFX with serial telemetry (2018).
- M.Sc. thesis at Sharif University of Technology (2018–2020): the Linear Eddy Model implemented in the open-source CANTERA library for turbulent premixed combustion, in C++, Python and Fortran.
- Conical shock tube analysis and simulation for the Gas Dynamics course (Matlab, Ansys Fluent); preliminary and detail design of a 7-seat business jet (group project); preliminary design of a 10 kW turboshaft.
- University of Padua (2021–2022): electricity price and demand analysis for the state of Victoria (Australia) with a regression model, NLP to detect disaster tweets, training a neural network with the Frank-Wolfe method, the Number Mind game.
What he works on today
From PDFs, invoices, contracts and scans to verified data in your ERP, CRM or Excel.
Answers calls, qualifies leads, books appointments and updates your CRM.
LLM assistants that answer from your manuals and procedures, with sources.
Data entry, approvals, checks and reports automated inside your ERP and CRM.
Forecasting lead times, costs and delivery dates; planning and configurators in your ERP.
C/C++ firmware, sensors, CAN bus and telemetry, up to AI models on the collected data.
Frequently asked questions
Who is Mojtaba Amini?
Mojtaba Amini is an AI Software Engineer and AI consultant based in Verona, Italy. He designs and builds production AI systems for companies: automatic document data extraction, LLM assistants, voice agents, process automation and predictive models.
What does Mojtaba Amini do?
He helps companies put AI to work inside real processes, from analysis to a production system integrated into existing ERPs, CRMs and backends (.NET, Angular, Python). He created Agent Flow Bind, a platform of ready-made AI agents for documents, phone and finance.
Where is Mojtaba Amini based?
He is based in Verona, Italy, and works with companies in Italy and abroad, both on site and remotely.
Is he available for AI consulting?
Yes, he is available for consulting and project work on production AI systems.
How can I contact Mojtaba Amini?
By email at mojtaba.amini.1995@gmail.com, by phone at +39 351 916 9897, or on LinkedIn.