Atena Jafari Parsa
Hi, I'm Atena, an AI engineer, a data scientist and a fullstack software developer. I have hands-on experience in AI-Focused projects such as Cellenta iOS, a Cloud-Native AI-Powered OCS, Aware Citizen, an LLM-Based Political Economy Research Tool, Pima Diabetes Prediction on MLflow and an end-to-end computer vision defect-detection pipeline built during my industrial internship. You can browse all my projects here.
I'm a dedicated Artificial Intelligence Engineering graduate (BSc) with a strong academic record (Final Year GPA: 3.94/4.00) and a focus on applying Machine Vision, Large Language Models and MLOps to solve real-world problems.
Research Interests
- Deep Learning
- Machine Learning
- Agentic AI
- Generative AI & Large Language Models
- Computer Vision
- Signal Processing
- Robotics
Publications
Time-Series Signal Processing of Surface Electromyography (sEMG) for Walking Speed Estimation
Independent interdisciplinary research at the intersection of Artificial Intelligence and Biomedical Engineering, Bahcesehir University.
In Progress ▼
Started: November 2025
This study investigates time-series analysis and modeling of multi-channel surface electromyography signals to estimate human walking speed, combining techniques from machine learning and biomedical signal processing.
Aware Citizen: A Large Language Model-Based Political Economy Analyst
View Project
Research Paper
Project Presentation
Do AI Image Generators Infringe Copyright? Exploring the Legal and Ethical Concerns of Using Copyrighted Artworks in Machine Learning
View Publication
Presentation
Certifications & Specializations
Education
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
Bina Sanat 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 with a fully functional AI Assistant through a chatbot interface and real-time AI-powered package recommendation system in the store
+ Gave a presentation on Hazelcast + Fullstack Development
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