abolfazl bazazpoor - ML Researcher/Engineer - Resana Engineering Art Company | Himalayas
abolfazl bazazpoorAB
Open to opportunities

abolfazl bazazpoor

@abolfazlbazazpoor

Aspiring ML researcher with expertise in AI and data analysis.

Iran
Message

What I'm looking for

I am looking for opportunities that foster innovation and collaboration in AI research.

I am a dedicated Master’s student in Geographic Information Systems at Shahid Beheshti University, where I am honing my skills in machine learning and deep learning. My thesis focuses on Spatial-Multi-Criteria Analysis, emphasizing urban space quality measurement. I have a strong foundation in geology from my undergraduate studies, which complements my analytical skills in GIS.

Currently, I work as an ML Researcher at Resana Engineering Art Company, where I lead various AI projects. My experience includes implementing advanced algorithms for fingerprint detection and audio classification, as well as developing diagnostic systems for lung cancer. I am passionate about leveraging AI in medical imaging and have a keen interest in diffusion models and generative adversarial networks.

Experience

Work history, roles, and key accomplishments

RC
Current

ML Researcher/Engineer

Resana Engineering Art Company

Jan 2023 - Present (2 years 6 months)

Currently serving as an ML Researcher/Engineer, contributing to various machine learning initiatives. My role involves developing and implementing advanced AI models for diverse applications.

Education

Degrees, certifications, and relevant coursework

ST

Shahid Beheshti University of Tehran

Master of Science, Geographic Information System (GIS)

Grade: 15.76 out of 20.00

Completed a Master of Science in Geographic Information System (GIS). Thesis focused on Spatial-Multi-Criteria Analysis with an emphasis on the Outranking Method in Quality of Urban Space Measurement, using Isfahan city as the study area.

SA

Shahid Chamran University of Ahvaz

Bachelor of Science, Geology

Obtained a Bachelor of Science in Geology. This program provided foundational knowledge in geological sciences.

Tech stack

Software and tools used professionally

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