Security researcher focused on web application security and automation. Learning by breaking things, fixing them, and building practical tools.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
VIGIL
April 6, 2026 – Present
Real-time phishing protection for Chrome. Vigil analyzes every webpage you visit using a custom-trained machine learning model to detect malicious patterns and prevent credential theft before it happens. Vigil combines URL intelligence, DOM inspection, and behavioral indicators into a single threat score.
View ProjectTrue_Fake_API
April 4, 2026 – Present
list of true looking fake APIs for testing pourposes
View Projectdigital-literacy-project
March 24, 2026 – Present
Developed a Digital Literacy Portfolio demonstrating essential skills such as professional online presence, safe digital communication, use of collaboration tools, and cybercrime awareness through practical tasks and real-world platforms.
View Projectshekh-2810
December 3, 2025 – Present
I build what I break and break what I build. I map what is visible and search for what is not. I start where others stop and stop where errors begin. What am I? (If you guessed right, you’re probably in the wrong place—or exactly the right one.)
View ProjectAstraLock
December 3, 2025 – Present
AstraLock is a lightweight face-authentication system designed for Linux. It replaces legacy camera pipelines with modern deep-learning models, optimized preprocessing, and a clean, modular architecture. The goal is simple: reliable face-based login on Linux without the sluggishness, low-light failures, or angle sensitivity seen in older tools.
View ProjectDocInferX
November 23, 2025 – November 25, 2025
DocInferX is a fully-local, privacy-focused document intelligence system. It ingests PDFs and images, performs OCR, cleans text, chunks content, embeds it into a vector database, and lets you chat with your documents offline using a lightweight LLM (Phi-2).
View ProjectCultural Fit Analysis
The candidate's diverse personal projects, ranging from system-level security (AstraLock) to web extensions (VIGIL) and AI/ML applications (DocInferX), demonstrate a broad interest in technology and a strong drive for self-learning. This diversity suggests adaptability and a curious mindset, which can be a good cultural fit for an innovative environment. The focus on building practical solutions (e.g., face authentication, phishing protection) indicates a results-oriented approach. However, the lack of team projects or formal experience makes it hard to assess collaboration style.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-directed individual, capable of initiating and completing complex personal projects. The focus on privacy (DocInferX) and security (AstraLock, VIGIL) indicates a detail-oriented and responsible approach. However, without formal work experience or psychometric test results, it's difficult to assess team collaboration, stress handling, or direct operational fit.