Ali

Computer Vision Engineer

Neuralogic Group • Temps plein

Feb 2026 - Present • 8 mos

I work on production-grade computer vision systems that automate quantity takeoffs and estimation workflows for enterprise clients. My day-to-day combines classical CV (table-vector extraction, regex-based normalization, structured data parsing) with state-of-the-art detection and segmentation models to deliver accurate, auditable outputs for enterprise clients. I work hands-on with modern CV architectures including D-FINE, RF-DETR, YOLOX, SAM (v3), PaddleOCR, and EasyOCR, integrating them into scalable pipelines and lightweight UIs for validation, correction, and export. Key highlights • Extract and normalize tabular and textual data from drawings, PDFs, and images using OCR, table-vectorization, regex, and rule-based logic. • Combine ML detectors with deterministic post-processing to maximize measurement precision and traceability. • Ship production-ready tooling: model inference, data pipelines, and Streamlit frontends for review, correction, and export. • Collaborate closely with project leads to align delivery, accuracy targets, and client workflows.

Senior Quality Assurance Specialist — Computer Vision & 3D Perception

Pointivo • Temps plein

Apr 2019 - Jan 2026 • 6 yrs 9 mos

Generated high-precision 3D geometric models and ground-truth wireframes from drone-captured point cloud data to validate automated reconstruction pipelines. • Produced high-fidelity digital twins for telecom infrastructure, performing rigorous data quality audits within an AI- driven platform to ensure spatial and structural reliability. • Identified recurring reconstruction and measurement failure modes through systematic review and maintained structured QA records to help engineering teams track model degradation. • Created a RAG-based chatbot and documentation assistant to accelerate QA triage and customer operations