Atena J. Parsa
Hi, I'm Atena. A master's student specializing in Artificial Intelligence at
York University
.
I enjoy building end-to-end AI solutions, from intelligent applications
and computer vision systems to machine learning pipelines.
Some projects I've worked on include
Cellenta iOS,
a cloud-native AI-powered OCS;
Aware Citizen,
an LLM-based political economy research tool;
a
diabetes prediction pipeline deployed with MLflow
;
and an
end-to-end computer vision defect-detection system
developed during my industrial internship.
You can explore all my projects
here.
P.S. My projects may seem scattered across different areas of AI, but they have one thing in common; they're aimed for real world problems (Applied AI). That being said, I'm actively trying to prune my professional interests!
Education
Master of Science in Computer Science with a Specialization in Artificial Intelligence - MSc COSC > AI
York University , 2026 – 2028
Toronto, Canada
Bachelor of Science in Artificial Intelligence Engineering
Bahcesehir University , 2021 – 2025
Final Year GPA: 3.94/4.00
Istanbul, Turkiye
High School Diploma in Empirical Sciences
Farzanegan (Tizhoushan) High School by SAMPAD , 2015 – 2021
GPA: 3.9/4.0 (19.53/20.00)
Tabriz, Iran
Work Experience
Artificial Intelligence & Computer Vision Intern
Binasanat Veera , July 2025 – August 2025
End-to-End Defect Detection Pipeline , Model Development (YOLOv8, Faster R-CNN) + FastAPI Deployment & Dockerized GPU Inference
Internship Report
Software Intern
i2i Systems , June 2025 – July 2025
Worked on Cellenta, an AI-Based Cloud-Native Online Charging System (OCS) prototype featuring a fully functional AI Assistant via a chatbot interface and a real-time AI-powered package recommendation system in the store
Internship Certificate
Certifications & Specializations
Skills & Technologies
Programming Languages
Utilized Tools
Contact Me
I'd love to hear from you! Send me a message or reach out via social media.
Python
C++
Swift
R
Scikit Learn
MLflow
Microsoft Azure
Open CV
n8n
PyTorch
Tensorflow
aws
Docker
Hazelcast
Kubernetes
Google Cloud Platform