David Praise

Building booking software for salons and spas to manage appointments and walk-ins, present service pricing, and track business performance from a single link.

Owned the Data and AI product vision and roadmap, aligning executives, engineering, and client stakeholders to improve client retention. Led data migration, compliance reporting automation, and launched analytics and billing automation capabilities.

Redesigned software and data engineering curriculum around industry case studies and project-based learning. Led ML, computer vision, and data analytics lab sessions and created evaluation and interview processes for student projects.

Founded an AI-powered application that summarized Slack conversations into digestible updates and validated the product with early prospects before sunsetting it.

Partnered with executives to define requirements and build AI software to prevent false construction claims and flag project risks early. Built a multi-language OCR engine from scratch and authored technical documentation to standardize engineering delivery.

Founded and monetized an education platform delivering practical machine learning and computer vision tutorials to thousands of practitioners worldwide.

Delivered end-to-end predictive machine learning models for automated trading and facial recognition, producing production-ready solutions for clients without internal expertise. Led interpretation-focused workshops and created educational content using major ML/computer vision frameworks.

Grade: GPA 10.0

Master of Science in Artificial Intelligence at Singidunum University, with a thesis on automatic detection of indoor scenes using the Single Shot Multibox Detector, built with Python, PyTorch, and OpenCV.

Grade: GPA 9.49

Bachelor of Science in Software and Data Engineering at Singidunum University, with a thesis on handwritten character recognition using bottleneck residual blocks, built with Python, Keras, and OpenCV.