FLUTTER · AI · NLP · MEDICAL AI · REAL-TIME · IOT

I design and build intelligent software systems from product interface to model inference.

Flutter products, real-time IoT systems, Persian NLP, predictive analytics and medical-AI experiments — built with a product mindset and an engineering focus on reliability, explainability and real-world use.

8selected systems
4+engineering domains
01portfolio / engineering lab
Mohammad Mehdi Barooni portrait
SoftwareAIRealtimeIoT
LIVEAI Engineering Lab
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PROFILE

Portrait of Mohammad Mehdi Barooni

Software engineering across product, AI and connected systems.

I work across the complete product path: interface design, Flutter architecture, backend communication, machine-learning inference, data pipelines and device-facing realtime behavior. The goal is not to produce isolated demos; it is to make the whole system understandable and dependable.

PRIVATE BY DESIGN

Client-owned source code and private records are intentionally excluded. Public case studies focus on product behavior, system architecture and privacy-safe demonstrations.

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02 / SELECTED WORK

Product systems and AI experiments presented as engineering case studies.

LIVE AI ENGINEERING LAB

Models, APIs and engineering demos you can actually run.

Server-ready training pipelines, public-data experiments, privacy-safe business intelligence demos and model transparency.

Open engineering lab ↗
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03 / WHAT I BUILD

Useful systems where software, intelligence and data meet.

TECHNICAL TOOLKIT

A stack chosen around the problem, not around trends.

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04 / PROCESS

From ambiguity to a system that can be tested, explained and maintained.

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Frame the problem

Clarify users, constraints, edge cases and success criteria before choosing technology.

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Design the system

Separate UI, APIs, data, AI and realtime behavior into understandable responsibilities.

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Build the product

Implement the interaction and engineering details that turn architecture into a usable product.

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Validate reality

Test performance, failure cases, model confidence, permissions and device behavior under realistic conditions.

SYSTEM VIEW

A typical product path from interface to device or model

Flutter UIAPIDataAI / MLRealtimeDevice
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05 / ENGINEERING NOTES

Thoughts on production AI, realtime communication and product engineering.

CONTACT

Building something ambitious?

I am interested in product engineering, AI systems, connected devices and technically difficult software problems.