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I'm Mbebo Nonna, a computer science student at NYU Abu Dhabi, passionate about turning research into real-world AI systems. I've built production ML platforms, implemented computer vision workflows on satellite imagery, and created low-latency XR experiences, bridging academia and industry across Abu Dhabi and Silicon Valley. Collaborating across labs and teams, I design end-to-end pipelines, evaluate models rigorously, and craft interactive dashboards that empower researchers and operators. I'm excited to solve complex problems at the intersection of machine learning, software engineering, and interactive AI.…I'm Mbebo Nonna, a computer science student at NYU Abu Dhabi, passionate about turning research into real-world AI systems. I've built production ML platforms, implemented computer vision workflows on satellite imagery, and created low-latency XR experiences, bridging academia and industry across Abu Dhabi and Silicon Valley. Collaborating across labs and teams, I design end-to-end pipelines, evaluate models rigorously, and craft interactive dashboards that empower researchers and operators. I'm excited to solve complex problems at the intersection of machine learning, software engineering, and interactive AI.

Mbebo Nonna

Data Scientist, AI Engineer, Full Stack Developer, +2

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I'm Mbebo Nonna, a computer science student at NYU Abu Dhabi, passionate about turning research into real-world AI systems. I've built production ML platforms, implemented computer vision workflows on satellite imagery, and created low-latency XR experiences, bridging academia and industry across Abu Dhabi and Silicon Valley. Collaborating across labs and teams, I design end-to-end pipelines, evaluate models rigorously, and craft interactive dashboards that empower researchers and operators. I'm excited to solve complex problems at the intersection of machine learning, software engineering, and interactive AI.…I'm Mbebo Nonna, a computer science student at NYU Abu Dhabi, passionate about turning research into real-world AI systems. I've built production ML platforms, implemented computer vision workflows on satellite imagery, and created low-latency XR experiences, bridging academia and industry across Abu Dhabi and Silicon Valley. Collaborating across labs and teams, I design end-to-end pipelines, evaluate models rigorously, and craft interactive dashboards that empower researchers and operators. I'm excited to solve complex problems at the intersection of machine learning, software engineering, and interactive AI.

Available to hire

I’m Mbebo Nonna, a computer science student at NYU Abu Dhabi, passionate about turning research into real-world AI systems. I’ve built production ML platforms, implemented computer vision workflows on satellite imagery, and created low-latency XR experiences, bridging academia and industry across Abu Dhabi and Silicon Valley.

Collaborating across labs and teams, I design end-to-end pipelines, evaluate models rigorously, and craft interactive dashboards that empower researchers and operators. I’m excited to solve complex problems at the intersection of machine learning, software engineering, and interactive AI.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Machine Learning Engineer at Praxaus

April 1, 2025 - September 1, 2025

Engineered a production geospatial ML inference platform (preprocessing→batch inference→alert mapping) with outputs surfaced via internal web-based alert dashboards. Deployed ResNet-50 on multi-spectral satellite imagery, implementing validation workflows that ensured 92% precision.

Undergraduate Research Assistant at Computational Solid Mechanics Lab, NYUAD

January 1, 2025 - July 1, 2025

Engineered the end-to-end training pipeline for physics-informed DeepONet architectures, refactoring research code into a modular, documented design used by the PI and postdocs. Built a custom web-based Plotly visualization dashboard allowing researchers to interactively query stress hotspots in real-time.

Undergraduate Research Assistant at Extended Reality Lab, NYUAD

August 1, 2024 - January 1, 2025

Architected a low-latency interactive XR platform (Unity/C#) for stroke rehab, integrating safety guardrails. Designed the data collection protocol and pipeline to synchronize biometric sensor data with VR events.

Software Engineer, ML Platforms (Intern) at Aurora Innovation

May 1, 2024 - August 1, 2024

Shipped web-based auditability dashboards allowing operators to review dataset coverage and model behavior. Developed a human-in-the-loop web interface for perception labeling and implemented regression testing workflows to surface recurring model failures to ML researchers.

Undergraduate Research Assistant at Applied Interactive Multimedia Lab, NYUAD

January 1, 2023 - May 1, 2024

Developed Unity/C# VR environments for BCI-driven motor-intent decoding and assistive control. Processed and modeled EEG data from 20+ participants, ensuring data integrity via frame-locked logging.