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Awesome-AI4DevSecOps
August 28, 2024 – July 2, 2025
This repository offers a detailed taxonomy of existing AI-driven security solutions tailored for DevSecOps, highlighting the current research challenges and suggesting future directions for the field. It serves as a resource for researchers, developers, and security professionals interested in the intersection of AI and DevSecOps.
View ProjectVQM
September 13, 2023 – May 13, 2025
Vision Transformer-Inspired Automated Vulnerability Repair
View ProjectVulExplainer
July 12, 2023 – November 24, 2023
VulExplainer: A Transformer-based Hierarchical Distillation for Explaining Vulnerability Types
View Projectchatgpt-pr-review
March 6, 2023 – September 3, 2025
chatgpt-pr-review — GitHub repository
View ProjectAIBugHunter
November 8, 2022 – April 10, 2024
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
View ProjectVulRepair
July 19, 2022 – May 13, 2025
VulRepair: A T5-Based Automated Software Vulnerability Repair
View ProjectLineVul
January 19, 2022 – August 5, 2024
A Transformer-based Line-Level Vulnerability Prediction
View ProjectPyExplainer
March 10, 2021 – June 21, 2024
PyExplainer: A Local Rule-Based Model-Agnostic Technique (Explainable AI)
View ProjectCultural Fit Analysis
The candidate's projects are highly specialized in AI for DevSecOps and software vulnerability. While this demonstrates deep expertise, the lack of diversity in project domains (all personal, all security-focused) and absence of team-based projects or professional experience makes it difficult to assess broader cultural fit or adaptability to varied team environments. The target role is 'Data Scientist', and while the candidate's skills align with ML aspects of data science, the narrow focus might limit their fit for roles requiring broader data science applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong focus on independent research and development.