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I am a passionate Machine Learning and Computer Vision Scientist with a strong background in research and development. My work focuses on utilizing advanced algorithms to solve complex problems in various sectors, emphasizing safety and compliance in critical areas like healthcare and aviation.…

Zhila Bahrami

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I am a passionate Machine Learning and Computer Vision Scientist with a strong background in research and development. My work focuses on utilizing advanced algorithms to solve complex problems in various sectors, emphasizing safety and compliance in critical areas like healthcare and aviation.…

Available to hire

I am a passionate Machine Learning and Computer Vision Scientist with a strong background in research and development. My work focuses on utilizing advanced algorithms to solve complex problems in various sectors, emphasizing safety and compliance in critical areas like healthcare and aviation.

Skills

Python

Data Science

Experience Level

Python

Expert

Data Science

Expert

Work Experience

ML & CV Scientist at Aerium Analytics Inc

January 1, 2025 - January 1, 2025

Developed YOLOv8-based computer vision models to detect and measure airport runway markings for safety and compliance. Optimized high-resolution image processing with PyVips, improving inference speed and scalability for gigapixel imagery. Trained and fine-tuned models on AWS EC2 GPUs, managing large datasets via S3. Dockerized ML workflows and deployed inference services through Azure Pipelines and Azure Containers. Built FastAPI endpoints for inference and integrated a TypeScript + Node.js dashboard frontend, deployed on Vercel for visualization and API testing.

Part-time Employee at BC Cancer Center

January 1, 2024 - January 1, 2024

Developed ML-based algorithms to detect Radiation Pneumonitis in CT images, aiding early clinical diagnosis. Designed and trained CNN-based deep learning models for medical image classification and feature extraction. Implemented FastAPI services to expose model inference endpoints for clinical integration.

Intern at BC Cancer Center

January 1, 2022 - January 1, 2022

Developed ML-based algorithms for non–small cell lung cancer detection in CT scans. Applied CNN and Transformer-based segmentation models to accurately delineate Gross Tumor Volume regions. Collaborated with clinical researchers to evaluate model performance against expert annotations.

Intern at Intelliview

January 1, 2022 - January 1, 2022

Developed ML-based algorithms to detect liquid and gas leakages from thermal surveillance images, improving industrial safety monitoring. Implemented a foreground fusion–based framework combining background subtraction, motion segmentation, and thermal intensity analysis for leak detection.

Intern at Canscan Inc

January 1, 2021 - January 1, 2021

Developed ML-based computer vision algorithms to detect shipping container security seals and identify structural defects from RGB images. Contributed to the development of a patent-pending system for automated container inspection using deep learning.