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Tia Tarabay

@tiatarabay

Electrical and computer engineer who developed a vision-guided pollination drone using ROS 2, PX4, and YOLOv8.

For my final-year project, I developed a vision-guided UAV for apple-blossom pollination. I built a ROS 2–PX4–Gazebo simulation environment, deployed perception on an NVIDIA Jetson Orin Nano, and integrated a YOLOv8 detector with OpenVINS for drift-corrected localization.

At ELIE SAAB, I analyzed customer behavior, payment flows, and support operations to identify bottlenecks and investigate checkout issues for the company’s new website. At Navasard AI, I developed a RAG-based food recommendation system and data pipelines for menu indexing and retrieval.

Experience

Work history, roles, and key accomplishments

E-commerce Data Analyst

Elie Saab

Jan 2025 - Jul 2026 (1 year 6 months)

Analyzed customer behavior, payment flows, and support operations across Shopify, Stripe, Intercom, Hotjar, and Mixpanel to identify bottlenecks, investigate checkout issues, and recommend improvements to the company's new website.

Shopify Stripe Intercom Hotjar Mixpanel Data Analysis Customer Behavior Analysis Payment Flows Support Operations

Research Assistant – Biosensing Systems

American University of Beirut

Oct 2024 - Apr 2026 (1 year 6 months)

Supported the design of OECT sensor arrays for a point-of-care platform targeting circulating tumor cell detection. Analyzed biosensor measurements and operated electrochemical impedance spectroscopy (EIS) setups for sensor characterization.

OECT Electrochemical Impedance Spectroscopy Data Analysis Model Fitting Biosensors Machine Learning

Machine Learning Intern

Navasard AI

Jun 2025 - Aug 2025 (2 months)

Developed a RAG-based food recommendation system using prompt engineering, embeddings, and Pinecone vector search. Built data-tagging and embedding pipelines to structure menu data for indexing and retrieval, and integrated AI components into the application backend.

RAG Prompt Engineering Embeddings Pinecone Data Tagging Data Pipelines Backend Integrations Python

Research Assistant – Medical Imaging AI

American University of Beirut

Jan 2024 - Dec 2024 (11 months)

Supported medical-image preprocessing, model training, and testing for multiple sclerosis lesion detection. Investigated large language models for medical AI applications and reviewed state-of-the-art AI methods and FDA regulatory considerations.

Medical Imaging Pre processing Model Training Testing Large Language Models Mistral NeMo LLaMA 70B FDA Regulations

Education

Degrees, certifications, and relevant coursework

American University of Beirut

Bachelor of Engineering, Electrical and Computer Engineering

2022 - 2026

Grade: High Distinction, CGPA: 3.94/4.00

Pursued a Bachelor of Engineering in Electrical and Computer Engineering, graduating with High Distinction and a CGPA of 3.94/4.00. Focused on the Intelligence, Control, and Robotics track.