Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an AI expert specializing in deep learning, multimodal architectures, and computer vision. I am hands-on with generative models, large language models, and transformer-based systems. Skilled in Python, PyTorch, and cloud deployment, I have experience creating scalable AI pipelines and production-ready solutions. I am passionate about translating research into impactful applications through robust engineering and teamwork. I thrive on building efficient, scalable AI solutions for microscopy and other imaging modalities, significantly reducing annotation time and costs. Currently, I work as a Research Assistant at the German Research Center for Artificial Intelligence (DFKI), focusing on applying deep learning models to live cell segmentation and tracking in microscopy images. Previously, I was a Data Scientist developing and deploying deep learning models for object detection and recognition tasks in Tehran, Iran. I hold an M.Sc. in Bioinformatics and a B.Sc. in Computer Science with research interests spanning applied computer vision, generative models, and creative AI.…I am an AI expert specializing in deep learning, multimodal architectures, and computer vision. I am hands-on with generative models, large language models, and transformer-based systems. Skilled in Python, PyTorch, and cloud deployment, I have experience creating scalable AI pipelines and production-ready solutions. I am passionate about translating research into impactful applications through robust engineering and teamwork. I thrive on building efficient, scalable AI solutions for microscopy and other imaging modalities, significantly reducing annotation time and costs. Currently, I work as a Research Assistant at the German Research Center for Artificial Intelligence (DFKI), focusing on applying deep learning models to live cell segmentation and tracking in microscopy images. Previously, I was a Data Scientist developing and deploying deep learning models for object detection and recognition tasks in Tehran, Iran. I hold an M.Sc. in Bioinformatics and a B.Sc. in Computer Science with research interests spanning applied computer vision, generative models, and creative AI.

Mohammad Mahdi Koochali





I am an AI expert specializing in deep learning, multimodal architectures, and computer vision. I am hands-on with generative models, large language models, and transformer-based systems. Skilled in Python, PyTorch, and cloud deployment, I have experience creating scalable AI pipelines and production-ready solutions. I am passionate about translating research into impactful applications through robust engineering and teamwork. I thrive on building efficient, scalable AI solutions for microscopy and other imaging modalities, significantly reducing annotation time and costs. Currently, I work as a Research Assistant at the German Research Center for Artificial Intelligence (DFKI), focusing on applying deep learning models to live cell segmentation and tracking in microscopy images. Previously, I was a Data Scientist developing and deploying deep learning models for object detection and recognition tasks in Tehran, Iran. I hold an M.Sc. in Bioinformatics and a B.Sc. in Computer Science with research interests spanning applied computer vision, generative models, and creative AI.…I am an AI expert specializing in deep learning, multimodal architectures, and computer vision. I am hands-on with generative models, large language models, and transformer-based systems. Skilled in Python, PyTorch, and cloud deployment, I have experience creating scalable AI pipelines and production-ready solutions. I am passionate about translating research into impactful applications through robust engineering and teamwork. I thrive on building efficient, scalable AI solutions for microscopy and other imaging modalities, significantly reducing annotation time and costs. Currently, I work as a Research Assistant at the German Research Center for Artificial Intelligence (DFKI), focusing on applying deep learning models to live cell segmentation and tracking in microscopy images. Previously, I was a Data Scientist developing and deploying deep learning models for object detection and recognition tasks in Tehran, Iran. I hold an M.Sc. in Bioinformatics and a B.Sc. in Computer Science with research interests spanning applied computer vision, generative models, and creative AI.

Available to hire

I am an AI expert specializing in deep learning, multimodal architectures, and computer vision. I am hands-on with generative models, large language models, and transformer-based systems. Skilled in Python, PyTorch, and cloud deployment, I have experience creating scalable AI pipelines and production-ready solutions. I am passionate about translating research into impactful applications through robust engineering and teamwork. I thrive on building efficient, scalable AI solutions for microscopy and other imaging modalities, significantly reducing annotation time and costs.

Currently, I work as a Research Assistant at the German Research Center for Artificial Intelligence (DFKI), focusing on applying deep learning models to live cell segmentation and tracking in microscopy images. Previously, I was a Data Scientist developing and deploying deep learning models for object detection and recognition tasks in Tehran, Iran. I hold an M.Sc. in Bioinformatics and a B.Sc. in Computer Science with research interests spanning applied computer vision, generative models, and creative AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

German

Intermediate

Work Experience

Research Assistant at German Research Center for Artificial Intelligence (DFKI)

September 1, 2021 - Present

Applied deep learning models for live cell segmentation and tracking in microscopy images. Created and refined datasets for microscopy image analysis to improve model performance. Developed the SAT model for cell segmentation and tracking, featuring BoxSAT and PointSAT approaches achieving significant improvements in cell tracking accuracy and reducing annotation time and cost. Worked on scalable analysis across diverse datasets and imaging modalities.

Data Scientist at Sensifai

October 1, 2020 - August 21, 2025

Developed, trained, and deployed deep learning models (such as YOLO series, EfficientDET, RetinaNet, and CenterNet) for Object Detection, Face Recognition, Fire Detection, and Violence Detection tasks.