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Hi, I’m Tiana M. Aldroubi, a data scientist and machine learning engineer who loves graphic design and the art–technology intersection. I enjoy turning complex data into actionable insights and building end-to-end ML solutions. I’ve worked across ML research and engineering, including projects that explore dementia’s impact on artistic expression showcased at the LU Art Gallery, and I collaborate across design and development to create interdisciplinary products.…Hi, I’m Tiana M. Aldroubi, a data scientist and machine learning engineer who loves graphic design and the art–technology intersection. I enjoy turning complex data into actionable insights and building end-to-end ML solutions. I’ve worked across ML research and engineering, including projects that explore dementia’s impact on artistic expression showcased at the LU Art Gallery, and I collaborate across design and development to create interdisciplinary products.

Tiana M. Aldroubi

Data Scientist, AI Engineer, AI Developer, +3

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Hi, I’m Tiana M. Aldroubi, a data scientist and machine learning engineer who loves graphic design and the art–technology intersection. I enjoy turning complex data into actionable insights and building end-to-end ML solutions. I’ve worked across ML research and engineering, including projects that explore dementia’s impact on artistic expression showcased at the LU Art Gallery, and I collaborate across design and development to create interdisciplinary products.…Hi, I’m Tiana M. Aldroubi, a data scientist and machine learning engineer who loves graphic design and the art–technology intersection. I enjoy turning complex data into actionable insights and building end-to-end ML solutions. I’ve worked across ML research and engineering, including projects that explore dementia’s impact on artistic expression showcased at the LU Art Gallery, and I collaborate across design and development to create interdisciplinary products.

Available to hire

Hi, I’m Tiana M. Aldroubi, a data scientist and machine learning engineer who loves graphic design and the art–technology intersection. I enjoy turning complex data into actionable insights and building end-to-end ML solutions.

I’ve worked across ML research and engineering, including projects that explore dementia’s impact on artistic expression showcased at the LU Art Gallery, and I collaborate across design and development to create interdisciplinary products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Intermediate

Work Experience

ML Engineer at Skillion Hawkeye

December 1, 2024 - September 10, 2025

Developed cyclist safety and hazard detection system achieving 98% detection accuracy and 60% increase in detection range vs. prior solutions. Engineered custom YOLO architecture with angle/orientation prediction, enabling more precise incident classification. Expanded dataset via targeted collection & augmentation, improving recall in edge cases by 10%. Led full ML pipeline from data preprocessing to deployment in AWS using Python, YOLO, and KITTI dataset.

ML Research Intern at Vanderbilt MINT Lab

September 1, 2024 - September 10, 2025

Fine-tuned Stable Diffusion models to generate synthetic data, boosting small dataset performance. Conducted literature review on attention mechanisms, machine unlearning, and continual learning to guide experiments.

ML Engineer at Skil Lion Hawkeye

December 31, 2024 - September 10, 2025

ML Research Intern at Vanderbilt MINT Lab

September 30, 2024 - September 10, 2025

ML Engineer at Skillion Hawkeye

December 1, 2024 - September 10, 2025

Led ML pipeline for cyclist safety and hazard detection, achieving 98% detection accuracy and a 60% increase in detection range over prior solutions. Engineered a custom YOLO architecture with angle/orientation prediction for more precise incident classification. Expanded dataset through targeted collection and augmentation, improving recall in edge cases by 10%. Deployed pipeline from data preprocessing to production in AWS using Python, YOLO, and the KITTI dataset.

ML Research Intern at Vanderbilt MINT Lab

September 1, 2024 - September 10, 2025

Fine-tuned Stable Diffusion models to generate synthetic data, boosting performance on small datasets. Conducted literature review on attention mechanisms, machine unlearning, and continual learning to guide experiments.