Rahul Kumar

Computer Vision Engineer with 2+ years of industry experience delivering production-grade AI solutions for industrial automation. Specialized in OCR and real-time inspection systems integrated with PLCs and industrial cameras. Proven ability to design and deploy scalable applications using YOLO, PaddleOCR, PyQt5, and FastAPI, improving inspection accuracy and reducing manual intervention in manufacturing workflows.

Software Engineer – Computer Vision - Factory Automation Pvt. Ltd. - Noida Sector 83

(2026-01)

• Developed a production-grade OCR inspection and verification system integrated with Omron PLCs (UDP FINS) and industrial cameras for real-time manufacturing validation and automation.
• Designed trigger-based inspection workflows, enabling automatic image capture, OCR execution, and PLC pass/fail signaling with reduced manual intervention.
• Built PyQt5 desktop applications for live monitoring, production counters, OCR status visualization, and inspection logging used in industrial environments.
• Implemented ONNX and PaddleOCR-based pipelines with image preprocessing techniques to improve OCR performance under varying lighting and production conditions.
• Integrated multi-camera industrial systems (Sentech, iRayple, OpenCV) supporting real-time acquisition and inspection workflows.
• Developed industrial data logging solutions using FINS, Modbus, and Socket communication, with dashboard visualization for production monitoring.
• Created automated Excel/image logging systems for traceability, quality analysis, and historical inspection records.
• Optimized OCR processing and PLC communication for low-latency inference in continuous production environments.

Computer Vision Engineer - Add Innovations Private Limited-Vision Systems - Greater Noida

(2024-01 - 2026-01)

• Develop datasets for detection, segmentation, and tracking using industrial cameras (Hikvision CCTV, Baumer, FLIR, Hikvision, etc.).
• Annotate data with tools like Roboflow, LabelImg, Labelme, and MakesenseAI.
• Optimize GPU performance with CUDA for enhanced computational efficiency.
• Expertise in Yolov5 and Yolov8 for object detection and segmentation.
• Skilled in Python, Conda, and environment management.
• X-ray diagnostics using Pydicom for industrial projects.
• Train and export Yolo models in PyTorch to ONNX format for cross-platform use.
• Collaborate on end-to-end computer vision projects, covering the full cycle—from dataset generation and model development to deployment and performance optimization in production.

Master of Computer Application - MCA - Shri Krishna University

Bachelor of Computer Applications - BCA - Chhatrapati Shahu Ji Maharaj University

Senior Secondary - Uma Shankar Singh College

Secondary - Damodar High School Narainpur