Freelancers using Docker in LahoreFreelancers using Docker in Lahore
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Ahmed Khan's avatar
Ahmed Khan
Lahore, Pakistan
Cybersecurity specialist with ability to identify flaws
Cybersecurity specialist with ability to identify flaws
Cover image for I simulated a real-world Active
I simulated a real-world Active Directory (AD) attack to identify and exploit misconfigurations within a Windows domain environment. The goal was to practice enumeration techniques, escalate privileges to domain admin, and establish persistent access. I started with LDAP enumeration using ldapsearch to map domain users and groups. Using BloodHound, I visualized attack paths and identified a Kerberoastable service account — a weak SPN tied to an outdated service. I extracted the hash using GetUserSPNs.py (http://GetUserSPNs.py) and cracked it with Hashcat, revealing the cleartext password. I then used Pass-the-Hash to authenticate as a domain admin using PsExec. To maintain persistence, I added a domain admin backdoor account using Mimikatz. Finally, I cleared event logs to avoid detection and exported a full attack report for remediation. Tools Used: ldapsearch, BloodHound, Hashcat, GetUserSPNs.py (http://GetUserSPNs.py), PsExec, Mimikatz, eventlog (for cleanup) Deliverable: Full attack timeline with screenshots, enumeration outputs, and security recommendations.
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Cover image for I conducted a complete web
I conducted a complete web application security assessment on Damn Vulnerable Web Application (DVWA) using manual and automated testing techniques. The goal was to identify and exploit OWASP Top 10 vulnerabilities. I mapped the application using Burp Suite and discovered multiple injection points. I exploited SQL Injection to bypass authentication and extract sensitive data from the database using sqlmap. I also tested for Cross-Site Scripting (XSS) with custom payloads and successfully hijacked session cookies using document.cookie injection. I chained a file upload vulnerability with a PHP reverse shell to gain remote access to the server. All findings were documented with proof-of-concept screenshots and step-by-step remediation guidance. Tools Used: Burp Suite, sqlmap, OWASP ZAP, curl, custom payloads Deliverable: A detailed report including vulnerability exploitation steps, proof-of-concept, and mitigation strategies.
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Cover image for I performed a complete network
I performed a complete network penetration test on a deliberately vulnerable Linux machine (Metasploitable2) to simulate a real-world attacker scenario. The objective was to identify exploitable services, gain initial access, escalate privileges to root, and extract sensitive data. I started with reconnaissance using nmap to discover open ports and services. I identified outdated and vulnerable services including vsftpd 2.3.4 and Samba 3.0.20. Using Metasploit, I exploited the vsftpd backdoor to gain initial shell access. I then used shell_to_meterpreter to upgrade my session to a Meterpreter shell, giving me greater control. I dumped password hashes from /etc/shadow and cracked them using John the Ripper. Finally, I escalated privileges to root using the Samba usermap_script exploit and documented the entire process with screenshots. Tools Used: nmap, Metasploit, Meterpreter, John the Ripper, searchsploit Deliverable: A comprehensive report including attack timeline, exploited CVEs, and remediation recommendations.
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Cover image for I discovered a stored cross-site
I discovered a stored cross-site scripting (XSS) vulnerability in a practice web application's comment section that allowed me to inject malicious JavaScript that would execute in any user's browser. By submitting a comment containing a script payload, I successfully stole session cookies from other users and could have hijacked their accounts, performed actions on their behalf, or defaced the website. This finding was documented in a comprehensive report including proof-of-concept screenshots showing cookie theft, CVSS risk scoring of 6.5 (Medium), and step-by-step remediation guidance including input sanitization and output encoding. This assessment demonstrates my ability to find client-side vulnerabilities that can compromise every user visiting the site.
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Docker(3)
abdullah masood's avatar
abdullah masood
Lahore, Pakistan
AI & Full-Stack Engineer | Building Production AI SaaS, APIs
New to Contra
AI & Full-Stack Engineer | Building Production AI SaaS, APIs
Cover image for A Kubernetes deployment should be
A Kubernetes deployment should be easy to trace: what changed, who changed it, and why. That’s what interests me about GitOps. With GitOps, the desired state of your infrastructure and applications lives in Git. Changes go through commits and pull requests, while a controller such as Argo CD or Flux continuously reconciles the running environment with that desired state. A typical workflow looks like this: • Build and test the application through CI. • Push the Docker image to a registry. • Update the image version in the Git configuration. • Review and merge the change. • Let the GitOps controller reconcile the cluster. The benefits go beyond automated deployments: ✅ A versioned history of configuration changes ✅ Reviewable changes before deployment ✅ Visibility into configuration drift ✅ A repeatable way to manage environments One important detail: reverting a Git commit can restore an earlier configuration, but database migrations and changes to application data still need their own recovery plan. For me, GitOps connects development and operations through a workflow both teams already understand: Git. Are you using Argo CD, Flux, or CI-driven deployments for your Kubernetes workloads?
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Cover image for Production Kubernetes & Cloud Deployment
Production Kubernetes & Cloud Deployment
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Cover image for 🚀 Introducing GraphBridge – Turn
🚀 Introducing GraphBridge – Turn JSON into Grafana Dashboards One thing I've noticed while working on different projects is that applications already have valuable metrics, but getting those metrics into Grafana often requires exporters, custom integrations, or additional setup. I wanted something much simpler. So I built GraphBridge. The idea is straightforward: Your Application ↓ Send JSON ↓ GraphBridge ↓ Prometheus ↓ Grafana Instead of writing custom exporters, your application simply sends JSON metrics to GraphBridge. For example: { "active_users": 85, "orders_today": 42, "revenue_today": 9840, "failed_jobs": 3, "latency_ms": 210 } GraphBridge automatically converts the data into Prometheus metrics, making it immediately available for Grafana dashboards. Current features ✅ JSON Webhook API ✅ REST API polling ✅ JSON & CSV data sources ✅ Prometheus /metrics endpoint ✅ Docker Compose deployment ✅ Auto-configured Grafana dashboard ✅ Example integrations for Laravel, FastAPI, Node.js, and custom applications Possible use cases • Application monitoring • Queue & background job metrics • Business dashboards • API performance monitoring • FFmpeg streaming statistics • IoT sensor metrics • Internal analytics • Custom operational dashboards The goal is simple: Send JSON. Visualize everything. This is the first public MVP, and I'm planning to continue improving it with additional integrations and monitoring templates. I'd love your feedback and suggestions! ⭐ GitHub: https://lnkd.in/dAYdNJxg
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Cover image for 🚀 Building a Graph-Based Fraud
🚀 Building a Graph-Based Fraud Detection System with Neo4j A single transaction may look normal. Its connections can tell a different story. I’m building a learning project using Neo4j and Cypher to explore relationships between customers, accounts, transactions, and devices—and flag patterns worth investigating. 🔍 Patterns I’m exploring: • Multiple customers sharing the same device • Unusually large transactions • Rapid transactions within a short period • Multiple accounts sending money to one account • Circular transfers between connected accounts The focus is explainability: showing the relationships behind each flag so the suspicious activity is easier to understand. Through this project, I’m strengthening my graph data modelling, Cypher queries, and rule-based detection skills. Next: FastAPI integration, transaction risk scores, fraud alerts, and an interactive monitoring dashboard. 🛠️ Currently a learning prototype, with more updates coming as I build. What would you investigate first: shared devices or circular transfers? #Neo4j #GraphDatabase #FraudDetection #Cypher #BackendDevelopment #LearningInPublic
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Docker(2)
Hamza Hameed's avatar
Hamza Hameed
Lahore, Pakistan
Backend Python Engineer | Django, FastAPI, REST APIs & Cloud
New to Contra
Backend Python Engineer | Django, FastAPI, REST APIs & Cloud
Cover image for Fashion Studio is an AI-powered
Fashion Studio is an AI-powered fashion creation platform designed to help fashion brands and creators generate professional product visuals without traditional photoshoots. The platform combines virtual try-on, AI model generation, image generation, video generation, face swapping, and quality assurance into a single workflow. I worked on the backend and AI integration layer, building APIs and workflows that connect the platform with multiple AI services and handle the generation lifecycle from user input to final output. Key features include: 👗 Virtual Try-On — Apply garments and accessories to generated or uploaded models. 🧑‍🎨 AI Model Generation — Create realistic fashion models with configurable gender, appearance, measurements, poses, and backgrounds. 🖼️ AI Image Generation — Generate fashion campaigns and product visuals from prompts and references. 🎬 AI Video Generation — Turn generated fashion imagery into promotional videos. 🔄 Face Swap — Generate customized fashion content using face-swapping workflows. 🛡️ AI Quality Assurance — Automatically evaluate generated results and retry failed generations when necessary. 📚 Generation Library — Track and manage generated assets and their parameters. 💳 Credits & Billing — Manage generation credits, subscriptions, usage, and add-on credits. ⚙️ Generation Parameters — Store model configuration, garments, poses, backgrounds, aspect ratios, and generation metadata. Technology Python · Django · FastAPI · PostgreSQL · REST APIs · Replicate · OpenAI · Docker · AI Image Generation · AI Video Generation My Role Backend Engineer / AI Integration Engineer I focused on designing the backend APIs, integrating AI generation services, building generation workflows, handling asynchronous processing and failures, and connecting the AI capabilities with the product's user-facing workflows.
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Cover image for DarrenCaddle is a recruitment-focused CRM
DarrenCaddle is a recruitment-focused CRM and lead management platform designed to help recruitment teams organize large volumes of leads, companies, candidates, job opportunities, and sales activities in one centralized system. I worked on the backend development and business logic, building the systems required to manage recruitment data, lead workflows, company assignments, sales tasks, and administrative operations. Key Features Lead Management — Create, track, search, filter, and manage large volumes of recruitment leads. Advanced Lead Filtering — Filter leads by source, team, assigned user, country, status, sales task, outreach activity, and other attributes. Company Management — Maintain company records, domains, assignments, statuses, and associated recruitment activity. Candidate & Person Management — Organize candidate/person information and connect it with companies, jobs, and leads. Sales Workflow Management — Track sales tasks, responses, resume submissions, interest, contracts, and other recruitment stages. Job Management — Associate leads and candidates with relevant job opportunities. Lead Assignment — Assign companies and leads to specific team members and manage ownership across the recruitment workflow. Search & Reporting — Provide administrative tools for quickly finding and managing large datasets. Scalable Data Management — Built the backend around high-volume recruitment data, with the interface showing 250K+ leads and 200K+ company records. Admin Operations — Developed interfaces and backend functionality for managing the recruitment operation from a centralized platform. My Role Backend Engineer / Django Developer I was responsible for the backend development, including: Designing and developing backend APIs and business logic Building lead and company management workflows Implementing search, filtering, assignment, and status-management functionality Designing data relationships between leads, companies, people, jobs, and sales activities Building administrative workflows for managing large datasets Supporting recruitment and sales operations through custom backend functionality Technology Python · Django · Django REST Framework · PostgreSQL · REST APIs · Database Design · Backend Development
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Cover image for Fynite is a data-driven SaaS
Fynite is a data-driven SaaS platform designed to help businesses manage products, analyze market data, integrate external data sources, and create intelligent pricing strategies. I worked on the backend and data engineering side of the platform, building APIs, integrations, data pipelines, pricing workflows, and the infrastructure required to process and manage large volumes of product and pricing data. Key Features Dynamic Pricing Engine — Create and apply pricing strategies based on stock, demand, promotions, competitors, volume, and time-based rules. Product Management — Manage product catalogs, variations, SKUs, pricing, inventory, POS data, and dynamic pricing status. Competitor Pricing Intelligence — Collect and compare competitor pricing data to support data-driven pricing decisions. ETL & Data Pipelines — Ingest, transform, and synchronize data from multiple external sources. Third-Party Integrations — Built integrations with platforms such as Shopify, Square, Toast, Clover, NCR, and other data sources. Analytics & Dashboards — Provide revenue, net-value, price-index, competitor, and business performance insights. Pricing Strategies — Support promotion-based, stock-based, volume, time-based, demand-based, competitor-based, and fixed-markup pricing. Lead & Company Management — Manage leads, companies, assignments, sales tasks, and recruitment/business workflows within the broader platform. API Integrations — Connect external services and data providers through backend APIs and integration workflows. Scalable Data Architecture — Designed backend workflows for handling large datasets and continuously synchronized business data. My Role Backend Engineer / Python & Django Developer I focused primarily on the backend architecture and data layer, including: Designing and developing Django/REST APIs Building data ingestion and ETL workflows Integrating third-party platforms and APIs Implementing dynamic pricing logic and business rules Working with relational databases and analytical data stores Building automated data synchronization workflows Developing backend services for dashboards and analytics Handling product, pricing, inventory, competitor, and integration data Supporting cloud-based data processing and deployment Technology Python · Django · Django REST Framework · PostgreSQL · Amazon Redshift · AWS · Docker · REST APIs · Celery · ETL · Data Pipelines · Third-Party APIs
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Cover image for Django - SkillSwap
Django - SkillSwap
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Docker(1)
Muhammad Luqman's avatar
Muhammad Luqman
Lahore, Pakistan
Helping Startups & SMBs to build Scalable, Impactful Product
5.0
Rating
6
Followers
Helping Startups & SMBs to build Scalable, Impactful Product
Cover image for Financial Accounting Assistant – SaaS Web Application
Financial Accounting Assistant – SaaS Web Application
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Cover image for QuoteSmith
QuoteSmith
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Cover image for Development of Healing Mosaic Emotional Well-being App
Development of Healing Mosaic Emotional Well-being App
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Cover image for YouTube Influencer Analytics & Automation Platform
YouTube Influencer Analytics & Automation Platform
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8
Docker(1)
Ali Mardan's avatar
Ali Mardan
Lahore, Pakistan
Full-Stack (Next.js/Go) building scalable, AI-driven CMS
New to Contra
Full-Stack (Next.js/Go) building scalable, AI-driven CMS
Cover image for Engineered a high-performance headless platform
Engineered a high-performance headless platform for B1 Properties, combining a customized Strapi CMS with a blazing-fast frontend built to showcase luxury real estate listings dynamically and securely. Execution & Business Impact Zero-Bottleneck Content Management: Customized a structured Strapi backend, empowering non-technical marketing teams to instantly update ultra-luxury property listings and agent profiles with zero developer dependency. Premium UX & Media Optimization: Implemented automated image optimization and lazy-loading pipelines, ensuring massive, high-fidelity property assets load instantly without degrading performance or SEO scores. Scalable API Architecture: Built low-latency, secure API endpoints for smooth data fetching between the CMS and presentation layer to handle high-traffic property inquiries seamlessly.
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Cover image for Paradise Tick's is a fully
Paradise Tick's is a fully functional online retail store specializing in premium men's and women's watches. The project features a robust, custom-built admin panel designed to streamline the client's e-commerce operations, inventory management, and store customization. Key Features & Technical Highlights: * Custom Admin Dashboard: A user-friendly interface to manage orders, product catalogs, categories, and automated emails. * Dynamic Storefront Control: Built-in tools to manage home page sections, promotional banners, and sliders directly from the dashboard. * Optimized Asset Delivery: Integrated with Cloudflare R2 Storage for highly scalable, cost-effective, and blazing-fast product image hosting. * Bulk Inventory Management: Supports CSV import/export functionality to quickly add or update hundreds of products and prices at once.
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Cover image for Huntme Links is an administrative
Huntme Links is an administrative affiliate and partner management platform designed to track performance, manage payouts, and oversee multi-user networks within the HuntMe lead-generation and B2B software ecosystem. The dashboard provides a centralized interface for system administrators to monitor real-time financial metrics, such as total commissions, sales volumes, and transaction counts, while handling multi-tenant access control for registered partners. It features dedicated tracking for active marketing properties, handles automated billing and payment workflows, and streamlines the partner onboarding process via an integrated application pipeline to scale affiliate network operations efficiently.
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Cover image for Optimizing Trading Platform Frontend Performance
Optimizing Trading Platform Frontend Performance
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Docker(1)
Muhammad Hamza's avatar
Muhammad Hamza
Lahore, Pakistan
🚀4+ Years Experience: Senior software engineer
🚀4+ Years Experience: Senior software engineer
Cover image for Development of Researgent AI IDE
Development of Researgent AI IDE
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Cover image for Fetch for LLMs: Transforming Webpages for AI
Fetch for LLMs: Transforming Webpages for AI
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Cover image for AI-Powered Messaging Engine Development
AI-Powered Messaging Engine Development
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Cover image for PioSphere Cloud Infrastructure for AI
PioSphere Cloud Infrastructure for AI
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Docker(1)