Freelancers using Security Onion
Freelancers using Security Onion
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Arshiya S.
Mumbai, India
Cybersecurity Content & Cloud Solutions Expert
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Cybersecurity Content & Cloud Solutions Expert
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Cybersecurity Consulting for Social Media Agency
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Cybersecurity Blog's & Whitepaper for Industry Awareness
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Implementation & Internal Audit of AWS Cloud
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ibukun Babalola
Lagos, Nigeria
SOC Analyst |M365 · SIEM · Security Engineer · AI Automation
New to Contra
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SOC Analyst |M365 · SIEM · Security Engineer · AI Automation
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Built a complete enterprise-grade SOC environment from scratch: featuring Wazuh SIEM with custom detection rules, Security Onion with Suricata IDS/IPS and Zeek network monitoring, Active Directory with advanced security logging via Group Policy, and Windows Server with Sysmon telemetry. Designed and executed MITRE ATT&CK-aligned attack simulations from Kali Linux and validated detection coverage through red team exercises. Achieved over 95% detection rate across all tested techniques and tactics. This project served as the foundation for understanding how detection engineering decisions translate into real gaps and how to close them.
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Performed a read-only Microsoft 365 security assessment for an 11-user UK logistics company, uncovering two Critical findings: MFA disabled on Global Administrator accounts and an active email forwarding rule on the Finance Manager's mailbox consistent with Business Email Compromise. Delivered a clear priority action plan, all remediable within 72 hours using tools already included in the client's existing M365 licence along with SharePoint sharing controls and Conditional Access policy configuration to close legacy authentication gaps.
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Conducted a full cybersecurity risk assessment for NexaSoft's AWS EKS-hosted Employee Self-Service HR Portal, processing sensitive employee PII including payroll, health records, and government-issued ID. Identified three Critical and five High risks across Azure AD SSO, cloud IAM configuration, and insider privilege controls, aligned to ISO 27001. Delivered a prioritised 90-day remediation roadmap using native AWS and Azure tooling, reducing all Critical risks before go-live and supporting the client's ongoing ISO 27001 certification obligations under Australia's Privacy Act 1988.
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Delivered a GRC-aligned cybersecurity risk assessment for an Azure-hosted AI-Driven HR Analytics Service processing employee PII and behavioural data. This engagement went beyond conventional security reviews to address AI-specific risks including data poisoning and model bias that carry direct legal exposure under the Canadian Human Rights Act and the proposed AI and Data Act (AIDA). Identified five High risks and produced a mitigation strategy using Azure-native controls, alongside governance recommendations to ensure compliant and auditable AI decision-making ahead of AIDA enforcement.
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Christopher Dionne
Secaucus, USA
AI‑Powered eCommerce Web + Mobile Apps
5.0
Rating
7
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AI‑Powered eCommerce Web + Mobile Apps
2
Crypto Gaming Platform Integration – BC.Game (http://BC.Game)
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98
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E-commerce Development for KawaiiBox.com (http://KawaiiBox.com)
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Fitness Website Development
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E-commerce Website Development
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Zeeshan Raza
Lahore, Pakistan
Expert SAAS Developer | Full Stack Developer | Web Designer
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Expert SAAS Developer | Full Stack Developer | Web Designer
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Social Impact | Non Profit Website
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Next Quest | Connectivity Through Unqiue Team Building Activities
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Micheal Mark | Public Speaker
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FXGM | Photography Studio
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11
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Pavlo Krasnytsia
Lviv, 79000
Tech Leader | AI, Blockchain & Technology Architect
6
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Tech Leader | AI, Blockchain & Technology Architect
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Built a secure key management and programmable policy platform for Web3 infrastructure, enabling teams to enforce transaction rules, automate approval logic, and protect sensitive signing workflows using hardware-backed controls. This project signals senior-level expertise in security architecture, backend systems, and blockchain operations.
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Botpress | The Complete AI Agent Platform
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Developed a risk intelligence and simulation platform for DeFi protocols that helps teams model exposure, optimize parameters, monitor solvency, and respond to market stress in real time. The project demonstrates advanced quantitative systems thinking, protocol analytics, and robust dashboard-driven product engineering.
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Created a real-time blockchain data platform that streams on-chain data into developer and analytics workflows with low-latency pipelines, indexing, and database delivery. This project showcases strong full-stack architecture, data engineering, and blockchain infrastructure capabilities for modern financial applications.
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170
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Zuha Junaid
Lahore, Pakistan
AI Engineer & Creative Strategist create Immersive Solutions
New to Contra
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AI Engineer & Creative Strategist create Immersive Solutions
2
Executive Summary The primary objective of this project was to identify and mitigate security vulnerabilities within a custom-built academic portal. By implementing a defense-in-depth strategy, the assessment utilized multiple security testing methodologies to ensure a robust security posture. The evaluation revealed moderate security risks, primarily involving server misconfigurations and missing security headers.
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Zuha Junaid - 3D AI & Software Engineer Portfolio A modern, immersive 3D portfolio website showcasing AI/ML projects, full-stack development expertise, and technical skills. Built with cutting-edge web technologies and designed with glassmorphism aesthetics. 🌐 Live Portfolio: https://zuha3dport-s3994me9.manus.space ✨ Features 🎨 Design & Aesthetics Dark Glassmorphism: Frosted glass cards with backdrop blur effects 3D Animations: Animated particle background with mouse interaction Responsive Design: Fully optimized for desktop, tablet, and mobile devices Smooth Transitions: Elegant page transitions and hover effects Premium Color Palette: Dark blue (#0a0e27) with teal (#1dd1a1) and purple (#a29bfe) accents 📄 4 Complete Pages Home - Hero section with animated 3D background and quick stats About - Technical skills showcase, education, and interests Projects - 4 major projects with detailed descriptions and technologies Contact - Contact form and social media links 🎯 Interactive Elements Animated particle background system Glass card hover effects Staggered entrance animations Smooth page navigation Responsive contact form Social media integration
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Al-Insaan Care: A Supportive App for Illiterate Needy People Al-Insaan Care is a mobile application specifically designed to bridge the accessibility gap for illiterate and needy individuals. By removing traditional text-based barriers, the platform empowers users to request and receive essential financial aid and material donations—including food, clothing, electronics, and blood—with dignity and ease. Project Overview The primary goal of Al-Insaan Care is to provide an inclusive, user-friendly experience for populations that struggle with literacy. The application leverages multimedia tools to ensure that navigating the path to assistance is as intuitive as possible. Key Features Accessibility-First Design: Information is presented through visuals, audio instructions, and videos rather than text. Voice-Activated Requests: Users can submit vital information (CNIC, address, house details) via voice messages or direct calls. Thorough Verification: An administrative department validates all requests to ensure aid reaches those truly in need. Streamlined Distribution: Integrated delivery services handle the distribution of material goods, while money and blood are managed through direct channels. Social & Community Engagement: A social feed allows for community interaction and updates on humanitarian efforts. UI & User Experience The interface is designed to be clean and minimalist, focusing on high-contrast iconography and simple workflows. Main Components Section AND Description Donation Portal: Uses icons (cutlery for food, shirt for clothing, etc.) to help users identify categories without reading. Checkout Flow: A simple process with a 100% discount model for needy recipients, resulting in a total cost of Rs.0. Dashboard: Provides administrators and donors with a visual overview of contributions and user growth through line graphs. Chat Interface: Includes a microphone option for instant voice commands and communication with support staff. Activity Feed: Tracks real-time user interactions, likes, and comments to foster a supportive community. How It Works Request: A user in need accesses the app and submits their details using voice commands or multimedia tools. Verify: The administrative team reviews the voice-submitted data and validates the request. Fulfill: Donors or the organization provide the requested items. Deliver: The delivery department ensures the items reach the verified address via courier or direct distribution.
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Diabetes Prediction System Developed a prediction system using Pima Indians dataset, achieving 84% accuracy with Random Forest. Performed comprehensive data cleaning and median imputation for missing values. Implemented feature scaling and model evaluation with cross-validation. 84% Accuracy Data Cleaning Feature Scaling Technologies Python Scikit-learn Pandas Random Forest
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