Mohammad Sefidgar
Ai and Computer Vision Developer Ii @Carbotech
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WORK HISTORY
Ai and Computer Vision Developer Ii @Carbotech
Deep Learning & Computer Vision: Designed and implemented deep learning models (semantic segmentation, object detection) and classical CV algorithms for industrial automation, improving defect detection accuracy by 25% and reducing processing latency.• Multimodal & Generative AI: Integrated multimodal systems with computer vision workflows for automated quality inspection, enhancing visual understanding and anomaly detection. Fine-tuned open-source LLMs for domain-specific tasks, optimizing inference speed and contextual precision.• AI Infrastructure & MLOps: Architected hybrid CI/CD pipelines (on-premise, AWS, Azure), automating training, validation, and rollout processes, cutting deployment time by 40%. Deployed models via containerized microservices with FastAPI and Django for scalable, low-latency inference.• System Engineering & Optimization: Performed end-to-end system integration and performance tuning (latency, throughput, reliability) for industrial-grade applications in Python and C++.• Leadership & Collaboration: Led and mentored a cross-functional computer vision team, improving delivery efficiency through structured code reviews and best-practice enforcement. Partnered with engineering and product teams to deliver AI-driven features that generated measurable business impact.
EDUCATION
Azad University (IAU)
Bachelor of Electrical and Electronics Engineering, Evaluated by WES Canada
École De Technologie Supérieure
Master's degree, Electrical and Electronics Engineering
Universiti Putra Malaysia
Master's degree
ABOUT MOHAMMAD SEFIDGAR
AI/ML Engineer with 10+ years of experience building production-level AI systems. I…
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