Farshid PirahanSiah

I am currently seeking opportunities in computer vision.

About Me

I am an accomplished Research Engineer with over 7 years of experience, including a PhD in Computer Science and a Bachelor’s in Software Engineering. My career has been dedicated to the fields of Computer Vision, Machine Learning, and ML Operations. I have a proven track record of transforming complex algorithms into production-ready applications, utilizing cloud technologies and containerization, and optimizing ML pipelines and infrastructure in fast-paced environments.

With expertise in Machine Learning, IoT, Medical Imaging, and Robotics, I am proficient in designing image analysis algorithms and have made significant contributions to patents, books, and research papers. As a Technical Lead and Research Engineer, I have collaborated with stakeholders to define and achieve KPIs, managed cross-functional team projects, and deployed scalable AI solutions across cities and cloud platforms.


  • 10+ years: PhD, R&D in Computer Vision, C++
  • 7+ years: Machine Learning/Deep Learning, Python
  • 5+ years: IoT, Model Optimization on Edge, Robotics, Medical Image Processing, Cloud Solutions (AWS)
  • 3+ years: Technical Lead, Global Collaboration, Development Leadership
  • 1+ years: LLM, Multimodal LLM, Vision-Based LLM, RAG, Langchain, OpenAI API

Core Skills

  • Computer Vision and AI: Advanced expertise in image processing, deep learning model development, and application deployment.
  • Project Management: Experienced in leading complex, cross-functional projects internationally.
  • Technological Proficiency: Skilled in OpenCV, NumPy, Pandas, Matplotlib, PyTorch, TensorFlow, Docker, and AWS.

Technical Skills

  • Languages: Python, C++, MATLAB
  • Frameworks: TensorFlow, PyTorch, Keras
  • Tools: Docker, Kubernetes, AWS, Git, Datadog, MLflow
  • Operating Systems: Windows, MacOS, Linux
  • Containerization: Docker
  • Cloud Computing: Amazon Web Services (AWS)
  • Others: CI/CD, GitHub Actions

Leadership and Collaboration

Strong teamwork and leadership capabilities have enabled me to lead international projects that exceed business expectations, driving growth and technological innovation in computer vision and machine learning.

Feel free to connect with me through LinkedIn or follow my updates on GitHub. I am always interested in discussing potential opportunities or collaborations in computer vision and AI-related projects.

Image Processing GPT

  • GPTs: Computer Vision Developer
  • Expert in Python, OpenCV for image processing and computer vision applications.
  • https://chat.openai.com/g/g-vHELtCqJq-computer-vision-developer


As an AI consultant,

I specialize in computer vision and leverage advanced technologies like machine learning, deep learning, and data analytics to solve complex business challenges. My approach involves collaborating closely with stakeholders to understand their objectives and translate them into robust AI-driven solutions that enhance revenue, reduce costs, and improve profitability. I have a strong focus on leveraging IoT, robotics, and cloud computing platforms like AWS to develop scalable and efficient AI solutions. This includes the application of OpenCV, TensorFlow, PyTorch, and Docker for real-time image processing, neural network model development, and containerization. My expertise lies in integrating these technologies to exceed operational expectations, driving substantial business growth and technological advancement in competitive markets.

Additionally, I’m working on the next frontier of AI: agentic workflows. My solution, LLM Vision Agent, aims to provide an experience by allowing users to describe their problem in text and utilizing LLM agent to solve the task for them, eliminating the need for time-consuming model selection, programming, or training.

Schedule a No-Cost Consulting session with me

to ensure your computer vision project’s success. In this one-on-one session, we’ll cover:

Understanding your business needs or use case Feasibility assessment Solution recommendations Cost considerations Next steps