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Russell Williamson's avatar
Russell Williamson
proLittle Rock, USA
Business Systems Architect | RVW Systems
1x
Hired
5.0
Rating
7
Followers
Business Systems Architect | RVW Systems
Cover image for AI Guest-Flow Intelligence System Design
AI Guest-Flow Intelligence System Design
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2
Cover image for A roofing company was spending
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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Cover image for Building an AI-powered affiliate
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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Cover image for Stop building science experiments and
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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Systems Engineer(5)
Security Engineer(1)
Data Engineer(1)
Yuco Murakami's avatar
Yuco Murakami
proFukuoka, Japan
Full-Stack&AI Engineer Helping Businesses Automate and Scale
6
Followers
Full-Stack&AI Engineer Helping Businesses Automate and Scale
Cover image for Please contact me before placing
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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Cover image for Development of RaiseYourIQ Learning Platform
Development of RaiseYourIQ Learning Platform
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13
Cover image for Centralized Knowledge Management System Architecture
Centralized Knowledge Management System Architecture
2
7
Cover image for AI systems don't stay fixed
AI systems don't stay fixed forever. APIs update. Models behave differently. Edge cases surface after launch. Business requirements change. I provide ongoing technical support and maintenance for AI systems that were either built by me or by another developer keeping your chatbots, automation workflows, data pipelines, and AI applications running reliably. What I handle: Bug fixes and breakage caused by API changes (OpenAI, Anthropic, Zapier, n8n, Make) Prompt tuning to improve AI response quality over time Performance optimization (reduce latency, cut costs, improve accuracy) New feature additions to existing systems Platform migrations (e.g., moving from Zapier to n8n, or GPT-3.5 to GPT-4o) Security reviews and data handling audits Response quality monitoring and improvement I take over existing AI systems built by others regularly. Just give me access to the codebase or platform account and a description of what's broken or what you want improved I'll diagnose and fix without unnecessary rebuilding. The monthly retainer model is ideal for businesses that have live AI systems serving real customers and can't afford downtime.
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Systems Engineer(3)
Data Engineer(2)
Audio Engineer(1)
Alexandru X's avatar
Alexandru X
Warsaw, Poland
Polymath | Strategic Innovator | Versatilist
Polymath | Strategic Innovator | Versatilist
Cover image for Multi-VM Honeypot Network Setup and Log Analysis
Multi-VM Honeypot Network Setup and Log Analysis
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20
Cover image for AI Data Extraction and Processing
AI Data Extraction and Processing
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25
Cover image for Automation System - SEO/Marketing Agency
Automation System - SEO/Marketing Agency
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30
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Data Engineer(2)
Security Engineer(1)
Systems Engineer(1)
Łukasz Bazan's avatar
Łukasz Bazan
Głogów Małopolski, Poland
Fractional AI Architect | Deterministic GraphRAG Expert
New to Contra
Fractional AI Architect | Deterministic GraphRAG Expert
Cover image for PAY-SENTINEL is a highly deterministic
PAY-SENTINEL is a highly deterministic architectural framework designed to eliminate financial leakage in FinTech refund and payment automation pipelines. This document is a redacted portfolio version of the Master Blueprint, demonstrating how to replace probabilistic "AI Wrappers" with hard, stateful logic. The primary achievement of this architecture is the complete eradication of "Semantic Drift" and False Approval Rates (FAR). By weaponizing Pydantic V2 and GraphRAG, the system incarcerates stochastic AI outputs within rigid JSON schemas, forcing 100% SLA and KYC compliance before any transaction API is triggered. [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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Cover image for NEXUS-FORGE is a proprietary Tier-0
NEXUS-FORGE is a proprietary Tier-0 architecture designed for global supply chains operating on enterprise-grade ERP systems (SAP/Oracle). This document is a redacted portfolio version of the Master Blueprint, which eliminates the risk of "Stochastic Deadlock" and API Exhaustion by implementing an Asynchronous Sidecar pattern. The primary achievement of this architecture is the transformation of unpredictable AI forecasts into a deterministic "Digital Twin" model powered by a Neo4j Knowledge Graph. This enables the prediction of cascading failures and the calculation of a logistical "Blast Radius" with mathematical precision, completely isolating core operational databases from probabilistic AI models. [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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Cover image for LEX-SENTINEL is an advanced legal
LEX-SENTINEL is an advanced legal engineering architecture designed for high-stakes Mergers & Acquisitions (M&A). This document is a redacted portfolio version of the Master Blueprint, showcasing how to eliminate the severe legal liabilities (such as "Frankenstein Clauses") generated by probabilistic Naive RAG systems. The primary achievement of this architecture is the deployment of a Spatial Knowledge Graph. Instead of destroying document structure through standard OCR, the system maps exact (X, Y) coordinates of legal PDFs. It guarantees a 100% verifiable, Zero-Paraphrase policy, compressing cross-document liability analysis from weeks to sub-minute, mechanically verifiable audits. [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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Cover image for CYBER-AEGIS is a proprietary Tier-0
CYBER-AEGIS is a proprietary Tier-0 architecture designed for Enterprise Security Operations Centers (SOC). This document is a redacted portfolio version of the Master Blueprint, showcasing an autonomous SOC Swarm engineered to eliminate Alert Fatigue and probabilistic hallucinations. The primary achievement of this architecture is the mechanical grounding of SIEM logs within a Zero-Trust Knowledge Graph (Neo4j). By utilizing OCSF normalization and a LangGraph Swarm, the system compresses the Mean Time To Detect (MTTD) for complex threats from days to sub-minute resolution, algorithmically rejecting over 90% of false-positive noise before human escalation. [ARCHITECTURAL IP & LIABILITY NOTICE] This document is a redacted sample of a Master Engineering Blueprint. It is intended exclusively for demonstrating architectural methodology and strategic framework design. It does not constitute a completed engineering source of truth for any third-party production environment. All proprietary frameworks and "Zero-Trust Fail-Safe" methodologies contained herein are the exclusive intellectual property of Łukasz Bazan. As a Fractional Architect, I provide the "Engineering Brain." I do not perform direct application coding. Any attempt to implement these patterns by internal teams is done at the Client’s own risk.
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Data Engineer(4)
Security Engineer(3)
Systems Engineer(2)
Neil Hanlon's avatar
Neil Hanlon
Bedford, USA
Open Source Infrastructure Expert & Linux Guru
Open Source Infrastructure Expert & Linux Guru
Cover image for Resilient Monitoring Stack for Hybrid Infrastructure
Resilient Monitoring Stack for Hybrid Infrastructure
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18
Cover image for Deployment Stack Revamp with IaC and GitOps
Deployment Stack Revamp with IaC and GitOps
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20
Cover image for Zero-Trust Mesh VPN with Nebula
Zero-Trust Mesh VPN with Nebula
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7
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Platform Engineer(2)
Security Engineer(1)
Systems Engineer(1)
Pavlo Krasnytsia's avatar
Pavlo Krasnytsia
Lviv, 79000
Tech Leader | AI, Blockchain & Technology Architect
7
Followers
Tech Leader | AI, Blockchain & Technology Architect
Cover image for Built a secure key management
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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Cover image for Created a real-time blockchain data
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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Cover image for Developed a real-time on-chain threat
Developed a real-time on-chain threat detection platform that monitors smart contracts, wallets, governance actions, and protocol activity to surface emerging attacks before damage occurs. This project demonstrates strong blockchain security engineering, alerting architecture, and production-grade risk monitoring at scale.
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Cover image for Developed AI-powered semantic search systems
Developed AI-powered semantic search systems using Weaviate as the core vector database. Designed hybrid search (keyword + vector) architecture and integrated large language models for contextual retrieval and summarization. Optimized schema design, embedding pipelines, and indexing strategies to support large-scale document corpora and conversational AI systems.
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Security Engineer(2)
Systems Engineer(1)
Data Engineer(1)
Pablo Pelaez Fundora's avatar
Pablo Pelaez Fundora
Phoenix, USA
Systems Engineer: C++, Linux, & Autonomous Security.
New to Contra
Systems Engineer: C++, Linux, & Autonomous Security.
Cover image for Openbot Semantic Firewall Development
Openbot Semantic Firewall Development
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3
Cover image for ASA DataFest Arizona Data Analysis
ASA DataFest Arizona Data Analysis under NDA
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Cover image for Autonomous AI agents pose serious
Autonomous AI agents pose serious security risks when executing unverified system actions. To solve this, our team built an OS-level security layer and telemetry pipeline to safely sandbox and monitor any autonomous agent
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Cover image for Chess: Evolve is a roguelite
Chess: Evolve is a roguelite tower-defense game where you deploy chess pieces as units and defend your King from waves of enemies. Each run gives you a random set of piece cards. Drag to place them on the board, or sacrifice cards to gain mana and redraw!
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Systems Engineer(2)
Security Engineer(1)
Data Engineer(1)