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Assessing your cultural and operational fit
adversarial-ml-security-benchmark
April 7, 2026 – Present
Open-source toolkit for benchmarking adversarial robustness of ML-based security classifiers (malware, IDS, phishing) using FGSM, HopSkipJump & ZooAttack via IBM ART. Includes Flask dashboard, Plotly.js heatmaps & Claude AI-powered threat reports. Docker-ready.
View ProjectASCII-name-art-generator
March 13, 2025 – March 13, 2025
ASCII-name-art-generator — GitHub repository
View ProjectPersitance-Browser-testvr
March 3, 2025 – March 3, 2025
Persitance-Browser-testvr — GitHub repository
View ProjectComputer-Networks-I-MCA-F
February 25, 2025 – April 11, 2025
Computer-Networks-I-MCA-F — GitHub repository
View ProjectData-Analytis-using-R-programming-SRMIST-MCA-I--F-
February 18, 2025 – March 24, 2025
Data-Analytis-using-R-programming-SRMIST-MCA-I--F- — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards cybersecurity and machine learning, which could align well with roles requiring innovation and problem-solving in these domains. However, the projects are primarily personal and lack team collaboration context. The breadth of technologies used across projects suggests adaptability, but the depth of experience with each is unclear. The target role 'Software Engineer' is broad, and the candidate's project focus might be a good fit for specialized software engineering roles in security or AI.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.