Mohammad-Ali Mahmoudpour
🤖 About me
Hey there! I’m Mohammad Ali — an AI Engineer and Researcher with a strong background in Computer Vision, Image Processing, and Deep Learning. I enjoy turning ideas into intelligent systems, from real-time object detection and image quality assessment to image retrieval and recognition.
I’m particularly interested in building practical AI systems that bridge the gap between research and real-world applications. I love working on challenging problems, experimenting with new ideas, and turning research concepts into things that actually work.
Beyond writing models and training networks, I’m passionate about research, problem-solving, and building things from scratch. I enjoy exploring how different fields of engineering and AI can come together to create smarter and more efficient solutions.
I’ve also been actively involved in the academic and professional community, serving as the president of scientific associations and helping organize competitions, conferences, and technical events. These experiences taught me that good engineering is not just about code and models — it’s also about curiosity, collaboration, leadership, and communication.
[ CV ]🎓 Education
Sept 2018 - May 2021
Digital Electronics
- No-Reference Image Quality Assessment Using Local and Global Features (Superviser: Dr.Kian Jafari)
Sept 2013 - Jan 2018
Electronics
- Foreground Detection using Gaussian Mixture Models (GMM) (Superviser: Dr.Reza Abdollahi)
🔬 Research Interests
- 🧠 Machine Learning & Deep Learning
- 🖼️ Image Processing — Image Quality Assessment & Biomedical Image Analysis
- 👁️ Computer Vision — Object Detection & Image Segmentation
- 🔗 Multi-modal Image Analysis
📄 Publications
💻 Work Experience
Experience
Nov 2025 - Present
AI Engineer - OnSite
- LLMs Prompt Engineering
- Cyber threat intelligence analysis by LLMs
Oct 2022 - May 2025
Data Scientist- Remote
- 3+ years of experience in machine learning development and deployment.
- Developed social listening pipelines for large-scale data collection and analysis.
- Implemented large-scale web scraping solutions using Selenium and BeautifulSoup.
- Configured and validated dedicated scraping servers for reliable and stable data pipelines.
Aug 2021 - May 2025
Researcher - OnSite
- 4+ years of hands-on experience in real-time object detection and AI deployment.
- Engineered YOLO-based vision pipelines with integrated face quality assessment.
- Implemented and containerized FastAPI/Flask AI services using Docker.
- Developed robust vehicle retrieval solutions for challenging visual conditions.
- Built custom DLStreamer plugins for base64 processing, cross-line detection, and ROI analysis.
🏆 Achievements & Leadership
- 🏅 Selected as one of the Top Papers at MVIP 2022.
- 🎓 Served as President of the University Scientific Association at MAZUST (2015–2016).
- 🥇 Ranked among the top 2% of 40,000 participants in the Iranian M.Sc. university entrance examination.
- 🚀 Led university scientific associations and organized competitions, conferences, and academic events.
- 🏫 Admitted to the Gifted & Talented High School (Nemuneh) program in Mazandaran Province, Iran.
🛠️ Skills
- Programming Languages: Python, T-SQL; familiar with R and Rust
- AI & Machine Learning: PyTorch, TensorFlow/Keras, Scikit-learn, Transformers, CrewAI, LangChain
- Computer Vision & Image Processing: OpenCV, Pillow, Scikit-image
- Data & Workflow: NumPy, Pandas, Apache Airflow
- Web & APIs: RESTful APIs, Flask, FastAPI, Selenium, BeautifulSoup
- Databases: PostgreSQL, MySQL, MongoDB
- Tools & Deployment: Docker, Apache Kafka, Git, Linux, LaTeX
- Languages: English — Advanced (expected IELTS Band: 6.5–7.0), Persian — Native
📩 Contact Me
💡 Have an idea? 📬 Let’s talk, collaborate, and make it happen.
+98-903-274-5796