Freelance Systems Engineers
Freelance Systems Engineers
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Kokorick AI
Houston, USA
AI Agents | LLMs, Computer Vision & Full-Stack Dev
79
Followers
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AI Agents | LLMs, Computer Vision & Full-Stack Dev
15
🚨 Turning CCTV Into a Crime-Prevention AI System We helped build Aegis FaceGuard, an AI-powered security platform designed to prevent armed robberies before they happen—not after. In high-risk regions like Colombia, traditional CCTV only records. This system predicts, detects, and reacts — instantly. Here’s what it catches in real time: 🪖 Helmet detection 🔫 Gun detection 🎭 Mask detection 👤 Suspicious posture ⚠️ Threat movement patterns When danger appears, the system automatically: Triggers alarms Alerts police Notifies the owner Saves evidence — all within milliseconds This is security before the crime, not after. If you're building AI for public safety, retail protection, or real-world automation, I’d love to connect. 🔥 #AI #ComputerVision #SecurityTech
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260
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🚀 Most AI outreach tools stop at writing messages. Warmo.ai (http://Warmo.ai) actually helps you find prospects, personalize outreach, and start meaningful conversations—all from one platform. Whether you're a freelancer, agency owner, recruiter, or founder, it's built to save hours of manual work and help you book more meetings. 🔥 Best part? The first users can use it completely FREE. If you've been waiting for an AI tool that actually helps you grow your business instead of just generating text, now's the time to try it. 👉 Check out Warmo.ai (http://Warmo.ai) and claim your free access while it's available. #AI #Sales #LeadGeneration #Outreach #Freelancer #Agency #Startup #BusinessGrowth #Automation #Contra
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106
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AI-Powered Code Editor for Modern Developers
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18
0
WorkMind AI: Unified AI Workplace Platform
0
11
Systems Engineer
(1)
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Usama Idrees
Islamabad, Pakistan
Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
$10k+
Earned
12x
Hired
4.4
Rating
36
Followers
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Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert
2
Legacy System Scalable and Secure Modernization
2
24
2
Implementing DevOps Practices; Enterprise-Level Transformatios
2
65
0
Maximize Data Protection & Availability with Vetted Veeam Expert
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23
0
Citrix DaaS Implementation & Optimization Services
0
17
Systems Engineer
(4)
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Russell Williamson
pro
Little Rock, USA
Business Systems Architect | RVW Systems
1x
Hired
5.0
Rating
7
Followers
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Business Systems Architect | RVW Systems
1
A roofing company was spending $70,000 a year on a 4-person manual inventory and procurement operation. I replaced it with a zero-touch pipeline. No human data entry. No spreadsheet handoffs. No "did we order that?" Slack messages at 9pm. The system runs on Airtable, Python, and OpenAI. It took 3 weeks to build. It paid for itself in the first month. Here's what I've learned after 20+ years of operations work and building these systems across hospitality, e-commerce, SaaS, and construction: The expensive problem is almost never the one you think it is. It's not the software. It's the 6 spreadsheets nobody wants to touch. It's the workaround that became company policy. It's the process that only works because one person memorized it. I build systems that replace all of that: the CRM, the automation, the AI agents, the dashboards, the content pipelines. One architect, one connected system, everything built to work together from day one. Recent builds: Recovered 20 hours/week for a multi-venue hospitality operation Unified 5 e-commerce storefronts into one automated command center Built an AI system that replaced 8 improv actors per venue per night (yes, really) Turned a hiring round into a one-button AI content pipeline What's the one manual process in your business that you know is costing you the most time, but you haven't fixed yet? #BusinessAutomation #AI #Operations #SystemsArchitecture #Airtable #Python #WorkflowAutomation #NoCode #ECommerce +1
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1
Building an AI-powered affiliate publishing engine from the ground up. I am currently working on a full automation system for NodeRidge, designed to turn product and software research into structured, review-ready WordPress content with human approval built into the workflow. The goal is simple: remove the repetitive work from affiliate publishing while keeping quality control, visibility, and editorial review in place. This build connects: 🗄️Airtable as the central operations hub ⚡Make.com (http://Make.com) for workflow automation 🧠OpenAI for content generation 📝WordPress for draft publishing 📊Google Search Console for rank and performance tracking What I like most about this project is that it is not just "AI writing content." It is a real backend publishing engine with structured data, review gates, sync monitoring, and operational visibility. The system is already handling prompt runs, WordPress draft syncing, affiliate link registry logic, and QA tracking. My next focus is scaling the Airtable architecture to handle higher volume. This is the kind of build I enjoy most: connecting messy manual workflows into a clean system that can actually scale. What are the biggest operational bottlenecks you're currently dealing with in your own workflows?
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224
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Stop building science experiments and start building scalable, autonomous operational systems. I just published a detailed look under the hood at my most sophisticated AI integration yet: The Hierarchical Multi-Agent Business System. Most founders use ChatGPT to write emails. I build AI agent teams to source leads, design technical architectures, manage client-facing dashboards, and automate complex content pipelines—all with zero human input for everything except final approval. Take a look at the attached infographic to see how this recursive, self-optimizing architecture functions. Here is the operational impact of what I build: Departmental Specialization: I don't use one "smart" agent. I build a crew of highly specialized agents (Lead Gen, Content, DevOps) overseen by a Manager Agent to ensure quality and prevent hallucinations. The Human-in-the-Loop Safeguard: The entire workflow is designed to be fully autonomous until final quality control and strategic approval. You get the scale of AI with the certainty of a human final check. Tool Agnosticism: My builds are logic-first. We use the best tool for the task, whether that's CrewAI, LangGraph, Supabase, Cloudflare, OpenAI, or a custom API. If you are a founder or operator ready to turn your standard business workflows into high-performance, autonomous engines, check out the full case study. https://contra.com/s/2rFLgNAU-custom-ai-agent-for-your-business-workflow
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219
0
Architected an autonomous AI pipeline that ingests product links, conducts SEO research, and generates publish-ready affiliate reviews with zero manual writing.
0
58
Systems Engineer
(5)
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Khondoker Ali Asgor Pavel
Dhaka, Bangladesh
Experienced IT Specialist & WordPress Developer
$5k+
Earned
2x
Hired
5.0
Rating
18
Followers
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Experienced IT Specialist & WordPress Developer
0
WatchSaver LLC Server Management
0
10
0
SEO for customviallabels.com & vialpackaging.com
0
8
0
2r3ml Website SEO
0
7
0
2r3ml.com Website Development
0
10
Systems Engineer
(1)
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El Mehdi El Wafi
pro
Morocco
Linux VPS SysAdmin AWS & Oracle Cloud Architect | Terraform
$5k+
Earned
1x
Hired
9
Followers
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Linux VPS SysAdmin AWS & Oracle Cloud Architect | Terraform
0
Enterprise VM Template for Proxmox VPS
0
8
$9.7K+ earned
3
DevOps/Cloud & DataOps maintainer
3
30
1
92% Cost OFF of EC2 Airflow/DBT Workers using Lambda
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13
3
🛠️ DevOps Tips 🛠️ If your GitHub workflows or jobs are failing due to jobs concurrently accessing and/or modifying shared resources, You can control execution at the workflow or job levels using the concurrency. Jobs/Workflows in the same are prohibited from running at the same time, and you can cancel any jobs/workflow if you trigger another one. Groups let you define compartments in which you don't want concurrent workflows running. They can be organized however you like. I find that using them in separate environments is a great practice. Cancel-in-progress: specifies if the old running job/workflow needs to shut down. Read more in docs: https://docs.github.com/en/actions/how-tos/write-workflows/choose-when-workflows-run/control-workflow-concurrency
2
3
510
Systems Engineer
(2)
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Yuco Murakami
pro
Fukuoka, Japan
Full-Stack&AI Engineer Helping Businesses Automate and Scale
6
Followers
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Full-Stack&AI Engineer Helping Businesses Automate and Scale
2
Centralized Knowledge Management System Architecture
2
7
4
Please contact me before placing an order Do you want to supercharge your Application with powerful AI models or APIs? You're in the right place! We specialize in integrating AI solutions like OpenAI (ChatGPT, GPT-4), TensorFlow, DALL-E, Gemini and more. Whether you need AI-powered tools, recommendation systems, content editors, or intelligent assistants, we can bring them to life inside your application. If you're not sure which AI model fits your needs best, no worries! We'll help you choose the most efficient and cost-effective option, and once you're satisfied with the plan, we'll handle the complete development and integration. TechStack: Frontend/Framework: Vue.js, React.js, Nuxt.js, Next.js, Angular AI Models: ChatGPT, Langchain, OpenAI (ChatGPT, GPT-4), TensorFlow, DALL-E, Gemini, and more Backend/Frameworks: Node.js, Express.js, Nest.js, .NET Core, JAVA, Python Database: MongoDB, Firebase, MySQL, PostgreSQL
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148
5
Are you losing hours every week to repetitive tasks that a well-built automation could handle in seconds? As a Fiverr Vetted Pro with deep expertise in AI-powered workflow automation, I design and build production-grade systems using n8n, Make (formerly Integromat), and Zapier the three leading platforms for connecting your tools, AI models, and data sources into seamless automated pipelines. What I build: Lead capture and CRM enrichment pipelines AI-powered email triage and response workflows Multi-platform data sync (Airtable, Notion, Google Sheets, HubSpot, Salesforce) Automated reporting and notification systems OpenAI / Claude / Gemini integrations into your existing workflows Webhook-based event triggers and real-time data processing My builds include built-in error handling, retry logic, and execution logging so your automation doesn't silently fail at 2am. Every workflow comes with clear documentation so your team can understand and maintain it. I work with businesses across SaaS, real estate, e-commerce, health services, and agencies. Whether you need a single zap or an interconnected system of 10+ workflows, I scope clearly, build cleanly, and deliver on time.
5
137
2
Habit Recovery App UI Design
2
7
Systems Engineer
(3)
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Vince Swu
pro
Dimapur, India
Full-Stack Engineer | AI & Security | 6+ Years of Experience
New to Contra
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Full-Stack Engineer | AI & Security | 6+ Years of Experience
0
Barebones x86 Operating System
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0
0
The Olive Programming Language
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0
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Image Seeker: Fast and Simplified Image Search App
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0
3
Can a fully automated, faceless YouTube channel actually run for free? That question is basically what turned into crank, a terminal AI agent I've been building for myself. It's turned into a full video production system: it writes, renders, voices, captions, and publishes, start to finish, with no editing on my end. It's currently running from production to upload at: https://youtube.com/@ecnivs Not public yet, but it's coming
3
89
Systems Engineer
(2)
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Bright Sylvester
Abuja, Nigeria
Systems Architect, Automation Engineer, frictionless nodes🌊
9
Followers
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Systems Architect, Automation Engineer, frictionless nodes🌊
5
Stop letting manual follow-ups and leaky funnels stall your growth. True lead generation isn't about chasing cold contact. It's about building automated, zero-friction systems that capture and convert traffic effortlessly. Optimize your pipeline, scale your outreach, and let infrastructure do the heavy lifting.
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New Project Launch(Q3): SparkleNET Corridor Guardian 🛡️⚡ Just published our latest build at SparkleNET, the Corridor Guardian, an autonomous Edge AI infrastructure monitoring and threat triage system designed for trade corridor security. When securing physical infrastructure and trade routes, cloud-processing delays simply don't cut it. We built a localized telemetry pipeline that ingests, triages, and visualizes live threat data with sub-70ms latency. Key Highlights: * Sub-70ms Response: Edge nodes handle anomaly detection locally with minimal transit overhead. * Resilient Architecture: Continuous fail-safe logging, even during WAN network disruptions. * Tech Stack: Python, Edge AI, n8n, Docker, Caddy, and a clean Tailwind CSS live dashboard. Check out the full breakdown and system architecture on my profile! 👉 Live Demo: https://sparklenet.space/dashboard/index.html https://sparklenet.space/Portfolio.html
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SparkleNET Corridor Guardian: Edge Telemetry & Object Detection Prototype Project Overview & Engineering Objective The Corridor Guardian is a lightweight, edge-computed telemetry sandbox designed to simulate real-time object detection and status monitoring completely offline. Engineered to test high-resilience IoT and data pipelines without relying on continuous cloud connectivity, this prototype highlights zero-latency systems architecture at the edge. Technical Architecture & Implementation * Sandbox Environment: Deployed a local 1-Node Lab Sandbox utilizing Termux running directly on an Android device for hardware-agnostic edge simulation. * Messaging & Communication Protocols: Integrated MQTT messaging pipelines to handle low-overhead telemetry ingestion and real-time event dispatching. * Workflow Automation: Leveraged n8n data flows to orchestrate asynchronous data routing and local event-handling loops. * Edge Scripting & Directory Mapping: Programmed a custom Python edge-loop script that maps local directory trees to simulate live object detection telemetry streams under completely offline conditions.
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SparkleNET Authority Sovereign: Project Case Study SparkleNET Authority Sovereign is an advanced, sovereign digital infrastructure and automated revenue operations (RevOps) platform engineered to eliminate operational friction. Structured around a secure administrative portal (portal.sparklenet.space), the project bridges the gap between high-throughput system automation and refined executive collaboration. Architecture & Technical Stack Cloud Infrastructure & Routing: Configured a secure virtual private server (VPS) environment utilizing custom Nginx and Caddy relative volume mappings to manage live deployment and SSL routing seamlessly. Workflow Automation Engine: Engineered robust backend automation pipelines using n8n, connecting asynchronous data triggers with zero-latency execution loops. Modular Edge Scaling: Designed resilient architecture blueprints capable of supporting local sandboxes (such as Termux and MQTT edge-loop testing) for offline telemetry and robust data validation.
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83
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(4)
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