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Hashem User

@hashemuser

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I build AI medical-imaging pipelines and responsibly uncover web application vulnerabilities.

Saudi Arabia

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What I'm looking for

I'm looking to apply AI, deep learning, medical-imaging research, and responsible security research to real-world challenges.

I'm an independent security researcher identifying and responsibly disclosing web application vulnerabilities through HackerOne, Intigriti, and BugBounty.sa.

I conduct reconnaissance, manual testing, and exploitation validation with Burp Suite, focusing on XSS and SQL Injection findings for financial institutions and private programs.

At Saint Petersburg State University, I co-authored a Scopus-indexed paper on AI dental radiograph analysis and developed a deep-learning CBCT pipeline to segment and classify dental pathologies.

Experience

Work history, roles, and key accomplishments

Current

Independent Security Researcher

Current

Self-Employed

Dec 2022 - Present (3 years 9 months)

- Independently identify and responsibly disclose web application vulnerabilities (XSS, SQL Injection) through public and private bug bounty programs on HackerOne, Intigriti, and BugBounty.sa.

- Conduct reconnaissance, manual testing, and exploitation validation using tools including Burp Suite.

- Findings include disclosures to major financial institutions and private programs .

Research Assistant

Saint Petersburg State University

Dec 2024 - Apr 2025 (4 months)

- Collaborated with dental faculty to align model outputs with clinical diagnostic categories, bridging technical development with real medical practice.
- Co-authored a Scopus-indexed publication on dental radiograph analysis using AI, based on this research.

Education

Degrees, certifications, and relevant coursework

Saint Petersburg State University

Bachelor's Degree, Mathematics and Artificial Intelligence

2021 - 2026

(Qualification Thesis):
"Development and Implementation of an End-to-End Pipeline for Automated Analysis of Dental CBCT Scans with Deep Learning"
, Designed a deep learning pipeline with AI segmentation to identify and classify dental pathologies (caries, periodontitis stages) from CBCT scans. Defended with a top grade (5/A).