Freelancers using GitHub Enterprise
Freelancers using GitHub Enterprise
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Abdul Rafay
Karachi, Pakistan
Developer with editing and Sales experience
New to Contra
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Developer with editing and Sales experience
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GitHub for Startups
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1
0
GitHub Enterprise
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2
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Healthcare solutions
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1
0
Financial services
0
0
GitHub Enterprise
(5)
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Derien Brown
Austin, USA
Cross-Platform Experiences
$5k+
Earned
1x
Hired
5.0
Rating
5
Followers
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Cross-Platform Experiences
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IBM Data Virtualization-Product Reskin
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32
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SetParty Fitness
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9
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Open Processing Code Experiments
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139
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Zygotic Game
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87
GitHub Enterprise
(1)
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Ylenia Chiarvesio
Las Palmas de Gran Canaria, Spain
Video & Content Producer | Health & Science
5.0
Rating
4
Followers
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Video & Content Producer | Health & Science
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SunnyPlans — Automated AI Content Operation
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9
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Showreel — Motion & Video Editing
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5
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Doctor Veg — Italian IBS Video Course
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8
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Gut-Brain Reset — Health Video Course
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6
GitHub Enterprise
(1)
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Mohammed Roqa
Palestine
AI Specialist automating workflows and digital experience.
9
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AI Specialist automating workflows and digital experience.
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Open to contract and consulting engagements 🙌 I design, build, and scale cloud-native systems that are secure, highly available, and built to last. What I can do for you: Architect and deploy cloud-native platforms — Kubernetes, Docker, AWS, multi-cloud Set up end-to-end CI/CD pipelines using GitHub Actions, Jenkins, and Ansible Design data systems — SQL/NoSQL, ETL/ELT, dashboards, GDPR/CCPA/HIPAA-compliant Build and optimize ML/AI models using TensorFlow and PyTorch Automate network operations, monitoring, and IT service workflows Implement and configure ServiceNow across ITSM, ITOM, ITAM, and CSM modules #DevOps #CloudNative #Kubernetes #CloudArchitecture #CI_CD #Docker #DataEngineering #MLEngineering #Python #Ansible #ServiceNow #NetworkEngineering #FreelanceEngineer #TechConsulting #Infrastructure #AWS #DataArchitecture #AIEngineering #Automation #hireme
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In my latest article, I explore how LinkedNav (https://www.linkednav.com) and Zapier (https://zapier.com) can transform LinkedIn signals into validated CRM records, controlled outreach, and clear human handoffs. Read the full article: https://mroqa.site/blog/zapier-data-layer-reliable-gtm-agents #ArtificialIntelligence #AI #Automation #TechTrends #FutureOfWork
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Practical insights on engineering, automation, data, and product strategy
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60
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I connected @PostHog, my web analytics tool to @Viktor, my AI coworker. Ten minutes later my analytics were live and verified. That's why Viktor.com (http://Viktor.com) caught my attention. It read my actual account state, gave me a paste-ready snippet with the details that matter, SPA pageview tracking, input masking, consent gate, then, after I deployed, verified its own work: fetched the live site, watched the network call land. I walk you through how it works and here's my referral link: lnkd.in/dw8MhMNc #ad #aiassistant #viktor @Viktor
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54
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Adil Shahzad
pro
Lahore, Pakistan
Senior DevOps & DevSecOps Engineer · Cloud Security
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Senior DevOps & DevSecOps Engineer · Cloud Security
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Zero-downtime repository and pipeline migration Around 70 enterprise repositories moved to a new platform with history, policies and access intact. Who it was for: A large international organisation running enterprise development at scale. The problem. Source control and CI/CD had to move platforms without stopping delivery. Losing commit history, branch protection or access mappings would have been worse than not moving at all. What I did. Inventoried repositories and pipelines, then ran a staged cutover that preserved history, branch policies and access controls. Rebuilt pipelines on the target platform and wired in code scanning and quality gates on arrival, so the migration also raised the security baseline rather than just relocating it. The result. Roughly 70 repositories migrated with no delivery downtime, and automated vulnerability detection in place from day one on the new platform.
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Driving SAMA CSF maturity from Level 2 to Level 3
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Fraud and abuse detection wired into a SIEM Card-testing and brute-force detection routed to on-call with a runbook attached to every alert. Who it was for: A payments platform exposed to automated card-testing traffic. The problem. Automated enumeration against payment endpoints is both a fraud loss and an availability threat, and it doesn't announce itself. Without detection it looks like ordinary traffic until the chargebacks arrive. What I did. Built the log pipeline into the SIEM, then wrote detections for card-testing patterns, brute force and anomalous transaction behaviour. Tuned edge rate-limiting and bot controls to cut volume at the perimeter. Every alert routes to on-call with a runbook attached, so whoever is paged at 3am has the next step in front of them. The result. Repeat attempts are caught as they start rather than reconstructed afterward, and response is a documented procedure instead of improvisation.
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FinOps automation across seven environments Automated scheduling and rightsizing that took roughly $280k a year out of the cloud bill. Who it was for: A large regional bank running seven cloud environments. The problem. Seven environments, most of them idle outside working hours, and no visibility into which team was spending what. Cost conversations were happening after the invoice rather than before. What I did. Established a cost baseline per environment, then automated resource scheduling so non-production stopped paying for nights and weekends. Rightsized the workloads that were provisioned for peaks that never came. Built daily and weekly cost reporting so stakeholders could see the trend without asking for it. The result. Around $280k of annual run-rate removed, with ongoing reporting that keeps the saving from creeping back.
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50
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James Park
Canberra ACT, Australia
Building intelligent enterprise systems
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Building intelligent enterprise systems
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ArkOS: Enterprise Agentic AI Adoption Framework
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6
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BTR OS: AI-Native Operations Platform for Build-to-Rent
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6
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AccessFit 24/7: Platform Rescue & Modernisation
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5
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SiteCard: Employee Digital ID & Compliance Platform
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60
GitHub Enterprise
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Angus Mc Gregor
Cape Town, South Africa
WebXR architect. AI backends. Protocol systems. $100/hr.
New to Contra
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WebXR architect. AI backends. Protocol systems. $100/hr.
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Lossless wire-format compression protocol utilizing 10-color chromatic frequency encoding to achieve 94% payload compression for AI systems, sealed on the Skale mainnet.
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Rebuilt Ratanga Junction (Cape Town's closed theme park) as a 36-node distributed VR coaster — GUSSSTRON CIRCUIT LAP 0 HORIZON. Backend: Python/Flask + FastAPI hybrid, SQLAlchemy, FIELD_TRACE ring buffer (RFI-aware analog for radio astronomy), serving 3D cities + VR prop. Bug: routes after main = dead. Fixed at 801. Now live from Railway jnb1 Johannesburg: /api/field → {"architect":"Cape Town ZA","confirmation":"vOSmkxHb","status":"online"} /api/family → 36-node circuit board Main site: https://cinder-awareness-production.up.railway.app/ (https://cinder-awareness-production.up.railway.app/)Commit: db9a41e3 — sealed D:\ + R:\ NRAO Req 265 — Remote-eligible — RFI / ODS experience.
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UPDATE 4: GUSSSTRON CIRCUIT is LIVE — 12 DOORS SUM=ZERO Shipped: https://cinder-awareness-production.up.railway.app/coaster-cities (https://cinder-awareness-production.up.railway.app/coaster-cities)36 nodes → 48 emergent + 51 triple fused colours. No stripes. Dot sequence confirmed per Protocol V2. 2 reserved (11Hz/12Hz blocked). MADE IN SA. OPEN TO ALL = OPEN TO BE PROVEN WRONG. Everyone is allowed to convince others why Noitallions are wrong. Show us which door leaks. If you break it, we learn. If you can't, we snap to Hawaii together. 🎵 I am a Black Bird, an Eagle too... The Black Eagle is back. 12 DOORS SUM=ZERO → NO BLOW-UP. Ahoeaaa! #descriptchallenge
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I built a 60-second Descript workflow that saves hours when you push Kaggle kernels from Windows. The Problem: If you push Kaggle kernels from Windows PowerShell 5, it adds a hidden BOM byte to your kernel-metadata.json and you get Kaggle Error. The Fix: I switched to PowerShell 7.6.5, ran kaggle kernels push from D:\Dev\kaggle_push, and it strips the BOM. I recorded the whole before/after in Descript — screen record, auto-transcribe, cut the errors with Underlord, and export for Contra. This is the other half of the figure 8: past = manual push fails, future = clean push with Descript docs. #descriptchallenge
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57
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Julia Schieske
39 Stendal, Germany
Julia Mut | Mobile-First Automation Architect
New to Contra
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Julia Mut | Mobile-First Automation Architect
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Mila – KI-Finanzassistentin für Selbstständige Mila unterstützt Selbstständige dabei, ihre Finanzen einfach und übersichtlich zu verwalten. Belege scannen, Einnahmen und Ausgaben erfassen, Kategorien zuordnen und jederzeit den Überblick über Gewinne, Steuern und laufende Kosten behalten – alles an einem Ort. Entwickelt für Menschen, die weniger Zeit mit Tabellen und mehr Zeit mit ihrem Business verbringen möchten.
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Webdesign :)
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Digitale Lösungen, mehr Zeit, mehr Kundschaft.
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22
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❤️ Projekt Herz
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15
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