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I'm Matin Taghian Zadeh, a senior AI engineer and full-stack developer focused on building production-grade AI solutions for edge devices, IoT, and cloud platforms. I design, train, and deploy models, integrate large language models, and architect RAG systems to power real-time decision making. Over the past 4+ years, I've shipped end-to-end projects—from research and prototyping to scalable deployments—optimizing inference on resource-constrained hardware and delivering robust automation and intelligent interfaces. I'm comfortable bridging ML and software engineering to deliver practical, impact-driven solutions.…I'm Matin Taghian Zadeh, a senior AI engineer and full-stack developer focused on building production-grade AI solutions for edge devices, IoT, and cloud platforms. I design, train, and deploy models, integrate large language models, and architect RAG systems to power real-time decision making. Over the past 4+ years, I've shipped end-to-end projects—from research and prototyping to scalable deployments—optimizing inference on resource-constrained hardware and delivering robust automation and intelligent interfaces. I'm comfortable bridging ML and software engineering to deliver practical, impact-driven solutions.

Matin Taghian Zadeh

AI Engineer, Full Stack Developer, Web Developer, +2

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I'm Matin Taghian Zadeh, a senior AI engineer and full-stack developer focused on building production-grade AI solutions for edge devices, IoT, and cloud platforms. I design, train, and deploy models, integrate large language models, and architect RAG systems to power real-time decision making. Over the past 4+ years, I've shipped end-to-end projects—from research and prototyping to scalable deployments—optimizing inference on resource-constrained hardware and delivering robust automation and intelligent interfaces. I'm comfortable bridging ML and software engineering to deliver practical, impact-driven solutions.…I'm Matin Taghian Zadeh, a senior AI engineer and full-stack developer focused on building production-grade AI solutions for edge devices, IoT, and cloud platforms. I design, train, and deploy models, integrate large language models, and architect RAG systems to power real-time decision making. Over the past 4+ years, I've shipped end-to-end projects—from research and prototyping to scalable deployments—optimizing inference on resource-constrained hardware and delivering robust automation and intelligent interfaces. I'm comfortable bridging ML and software engineering to deliver practical, impact-driven solutions.

Available to hire

I’m Matin Taghian Zadeh, a senior AI engineer and full-stack developer focused on building production-grade AI solutions for edge devices, IoT, and cloud platforms. I design, train, and deploy models, integrate large language models, and architect RAG systems to power real-time decision making.

Over the past 4+ years, I’ve shipped end-to-end projects—from research and prototyping to scalable deployments—optimizing inference on resource-constrained hardware and delivering robust automation and intelligent interfaces. I’m comfortable bridging ML and software engineering to deliver practical, impact-driven solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Persian

Fluent

Turkish

Intermediate

Work Experience

Full-Stack Developer at Freelance / Independent Projects

January 1, 2023 - Present

Developed web platforms using React.js, Node.js, Express.js, and PostgreSQL; built RESTful APIs for AI model serving with optimized backend performance; designed interactive AI-powered interfaces using Gradio and Streamlit; developed real-time dashboards with WebSocket integration for IoT monitoring.

AI Engineer at Freelance / Independent Projects

January 1, 2021 - Present

Architected and deployed intelligent automation agent using LangChain and Selenium for automated LinkedIn job applications; fine-tuned transformer-based regression model for product price prediction achieving 92% accuracy; implemented RAG systems reducing hallucinations by 73%; developed smart glasses AI system using YOLOv8, BYTETracker, and MobileNet for real-time detection on Raspberry Pi Zero; engineered AI-driven water quality monitoring platform achieving 97% forecasting accuracy; fine-tuned YOLOv8 for face detection and implemented face recognition; optimized inference pipelines to reduce model size by 60% and latency on edge devices; integrated AI models into full-stack web applications with RESTful APIs for real-time inference.