
Ujjval Dwivedi
Research Intern Computer Vision Data Engineering
Habilidades

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Experiencia laboral
Summer intern
Ministry of Defense • Tiempo parcial
May 2025 - Jul 2025 • 2 mos
• Engineered a production-grade video analytics pipeline using Python, OpenCV, and PySpark, achieving 40% throughput improvement on surveillance systems processing 10,000+ frames/day via optimized ETL workflows. • Orchestrated YOLOv8 and FaceNet deep learning models for real-time object and face detection at 92% accuracy; designed a motion-vector stabilization algorithm reducing camera jitter by 85%. • Translated defence operational requirements into rigorous ML pipeline specifications with cross-functional teams, ensuring data quality, system consistency, and scalable deployment standards.