NIMA AMINZADEH

Specialized Software Engineer | AI & Machine Vision

📧 dev@nimaaminz.com

📱 +98 930 596 11 58

🌐 nimaaminz.github.io

📍 Tehran, Iran

Summary

Software Engineer with 6 years of experience bridging the gap between High-Performance Backend Systems and Applied AI. Expert in .NET ecosystem and Computer Vision (YOLO/OpenCV). Proven track record in developing autonomous vehicle systems and scalable AI-driven architectures.

Technical Stack

Backend & Architecture

C# / .NET 8 ASP.NET Web API Entity Framework DTO Pattern REST/WebSockets

Artificial Intelligence

YOLO v8/v10 Faster R-CNN OpenCV LLM Integration Deep Learning

Frontend & Mobile

React Next.js TypeScript React Native

Education

B.Sc. in Computer Engineering

Focus on Software Systems & AI

Professional Experience

Founder & Lead Engineer

Jan 2025 — Present

Ednim.AI | Startup

  • CipherSmart Core: Architected a secure .NET 8 backend for enterprise-level AI chat and content production systems.
  • Implemented HashId Obfuscation, increasing API security by preventing 100% of potential ID enumeration attacks.
  • Reduced network overhead by 30% through custom JSON serialization and specialized DTOs for mobile clients.
  • Integrated OpenAI & Flux-Schnell models to automate complex image/text generation workflows.

Software Programmer

Oct 2019 — 2025

Hadrontavan | Industrial Automation

  • Developed custom Machine Vision systems for industrial safety, achieving real-time product defect detection.
  • Engineered a high-performance WebSocket implementation for Raspberry Pico W, enabling sub-100ms IoT communication latency.
  • Built a robust Warranty Management System using C# and MySQL, handling thousands of product records annually.

High-Impact Projects

Autonomous Vehicle AI (Gazelle Team)

University of Tehran

Lead the development of the Computer Vision Pipeline for the Solar Car project. Implemented real-time lane detection and obstacle avoidance using YOLOv8 and OpenCV, directly contributing to the vehicle's autonomous navigation capabilities.

Languages

English: Conversational / Technical Proficiency

Persian: Native