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mertz1999/README.md

πŸ’« About Me:

Hello! I’m Reza Tanakizadeh, a Computer Vision and Machine Learning Engineer with a passion for developing cutting-edge solutions that help businesses thrive. I specialize in building AI-driven applications for real-world problems, from medical image segmentation to secure AI agents deployed in cloud environments.

Currently, I'm focused on architecting AI systems using LangChain and LangGraph for enhanced search capabilities and Retrieval-Augmented Generation (RAG) solutions. With hands-on experience in managing Kubernetes clusters and automating workflows, I’m driven by the challenge of optimizing AI systems for cost efficiency and low latency.

Whether it’s improving system efficiency, enhancing medical applications, or developing innovative AI products, I’m here to turn your AI ideas into reality. Let’s build the future of intelligent systems together! πŸš€


🌐 Let's Connect:

Instagram
LinkedIn


πŸ’» My Tech Stack:


πŸ“Š GitHub Stats:


πŸ’Ό Work Experience:

AI Software Engineer

DeepSpring | April 2024 – Present
Location: United States

  • Architecting scalable AI systems, integrating LLMs and RAG-based services for real-time medical knowledge access.
  • Managing and scaling Kubernetes clusters across Azure, AWS, and DigitalOcean, optimizing for cost-efficiency and security.
  • Building CI/CD pipelines, streamlining the deployment and testing of AI modules.
  • Developing AI agents for healthcare claims, using ICD code detection and RAG solutions to improve claim accuracy and reduce rejections.

Computer Vision Engineer

DeepMeds | September 2022 – April 2024
Location: Sydney, Australia

  • Developed GAN-based medical image translation tools, achieving up to 96% accuracy in EEG signal analysis and 86% accuracy in medical image segmentation.
  • Worked on CT-scan segmentation and YOLO-based dental detection for medical image analysis.

Computer Vision Engineer

Nove | January 2022 – June 2022
Location: Tehran, Iran

  • Enhanced YOLOv7 for smoke detection, achieving a 5% accuracy boost.
  • Implemented real-time ball detection and face verification models with high accuracy for video processing.

πŸ† Achievements and Certifications:

  • 1st Place in Iran's National Elites Foundation - Rahneshan Competition.
  • Certifications in:
    • Git (Advanced Developer)
    • MATLAB (Signal Processing)
    • Self-Driving Cars (Specialization)
    • Data Science (Elementary)

🎯 Let's Build the Future Together:

I’m always excited to collaborate on AI-driven projects requiring deep technical expertise and creative problem-solving. Let's optimize your AI systems, build cutting-edge applications, and scale them efficiently. Reach out, and let’s make it happen!

Pinned Loading

  1. TrackNetV3-Pytorch TrackNetV3-Pytorch Public

    This is a modification models based on TrackNetv2 and we use Pytorch framework for development

    Python 8 1

  2. 3D-Ball-Reconstruction 3D-Ball-Reconstruction Public

    Make 3D trajectory of ball location from different views

    Python 2 3

  3. Dual-Authentication Dual-Authentication Public

    Dual Authentication: Using face-recognition and iris-recognition for more accurate authentication based on FastAPI system.

    Python 9 1

  4. Sima-Face-Recognition Sima-Face-Recognition Public

    Sima is a Face verification Pytorch project.

    Jupyter Notebook 8 1

  5. OpenTrade OpenTrade Public

    Open-Trade: Algo-Trading python with implementation some strategy (Classic and AI)

    Python 3 2

  6. real_time_docScan_ip_camera real_time_docScan_ip_camera Public

    find Doc in stream video that comes from an IP camera it can be detect and crop it

    Python 4