Sina — Software Developer - Computer Vision
Sina
Documents on File
Programming Skills 7

Achievements
3
Profile

Skills

Tenure
About Me
Programming Languages:
C# (skilled), SQL,.NET, C++, Python
(skilled), MATLAB®
AI/ML Models
TensorFlow, Keras, PyTorch, Scikitlearn,
OpenCV
Electromechanical Tools
3D printing, PCB Design, CATIA®,
Solid Works®, ANSYS®, Code Aster,
FreeCad, Auto CAD®
Certifictions
Certified Vision Professional (CVPA) Advanced CVP-Advanced Professionals
Certified Vision Professional (CVP) Basic CVP Basic Professionals
Global Common Controls Hardware (GCCH-1) Certification
Global Common Control Software (GCCS2)
Professional Competencies 4
Applications 3
My Business
Work Preferences
Eligibility
Work Experience6
Warren Technical Center, CAMI, and Oshawa Plant Developing inspection programs using C# (.NET) and Matrox Design Assistant for quality control Design and implementation of PLC Ladder Logic in Studio 5000 (Allen Bradley) Commissioning Matrox AltiZ, GTR, GTX cameras, Keyence Sensors, Matrox EV7 Controller Designing an AI-based inspection program (using YOLOv8 and ResNet-RS) for inspecting cell tabs Design and Integration of Photoneo 3D scanners for Sealer Inspection Designed and implemented AI vision systems for Robotic Bin Picking using Photoneo 3D sensors and classical computer vision

Part-time School of Applied Computer Science & Information Technology (ACSIT), Waterloo, Ontario, Canada Software Development Techniques - PROG8146 Programming: Database Management - PROG8081 Computer and Application Security - PROG8191

Waterloo, Ontario, Canada Developing a Vision-Based Quality Control System in C# (.NET) using Matrox Imaging Library PLC/IPC (Beckhoff) programming to coordinate camera inspections and robot movements Designing AI programs for defect detection in metal dies using TensorFlow, YOLO, and Matrox AI Managing Azure DevOps pipelines and implementing cloud computing for training ML systems Trained a deep learning model for multi-angle object classification and pose estimation

Waterloo, Ontario, Canada Designing an AI system for detecting lung nodules in chest X-rays (DICOM) using Python Implementing TensorFlow, Keras, and PyTorch for model training and experimentation Using Scikit-Image and U-Net for preprocessing and OpenCV for real-time image processing Evaluating model accuracy with ROC-AUC, precision-recall, and F1-score for performance tuning

Ontario, Canada Physics-based Computational Simulation of Cancer Metastasis (SolidWorks - Python) Analyzing Medical Images (Experienced with DICOM and NIFTI Formats) Designing personalized cancer treatments based on the location of the primary tumor and predicted metastatic sites

Ontario, Canada Data Structures Digital Systems and laboratory Strength of Materials 1
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