Md Sayeed Khan
Development
Telangana, India
Skills
Machine Learning (ML)
About
MD SAYEED KHAN's skills align with IT R&D Professionals (Information and Communication Technology). MD SAYEED KHAN appears to be an entry-level candidate, with 22 months of experience.
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Work Experience
AI Engineer
PFI
January 2023 - December 2023
- Developed Deep learning models employing instance/semantic segmentation (using Architectures ResNet101/50, MobileNet, EfficientNet etc) for detecting defects on various facade materials for over 100 Periodic Facade Inspection Projects • Successfully spearheaded the company's Accreditation process with BCA in Singapore, showcasing our commitment to excellence. Achieved a perfect score of 100/100 on the test data of BCA using the model I developed, demonstrating the effectiveness and accuracy of our AI approach • Utilized 3DF Zephyr - (Professional Level) for creating 3D models of building facades • Conducted research on glass facade detection to identify cracks on glass surfaces. • Built Autonomous AI End to End PipeLine for Train, Infer and Transfer Learning. • Created and Managed AWS EC2 instances to deploy Site across multiple regions
Research and Development Engineer
Analinear Imaging System
June 2022 - December 2022
- The prediction of three-dimensional (3D) rotation and translation matrices from two-dimensional (2D) images to rotate the three-dimensional model to match the point of view (POV) of the selected two-dimensional image. • Creating 3D models of building facades using software tools such as 3DF Zephyr, Blender, and Pix4D • AI model for object Detection on GrayScale/thermal Images using YOLO
AI Engineer and Team Manager
PFI
January 2023 - Present
- • Expanded on previous role with additional responsibilities, including overseeing a development team of 7 members. • Addressed customer issues, ensuring timely resolution and maintaining high levels of customer satisfaction • Supported development of Inspection reports and conducted software testing to identify and rectify bugs • Managed cost monitoring of AWS services and achieved a 75 Percent reduction in expenses
Education
