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Guy G's avatar
Guy G
Oregon, USA
40+ years programming experience including recent AI and ML.
7
Followers
40+ years programming experience including recent AI and ML.
Cover image for Language models provide some spectacular new opportunities f...
Language models provide some spectacular new opportunities for discovery. While working on some ideas it occurred to me to explore the relationships between concepts spatially. Interpolating across the latent space between concepts and then mapping to a vectors nearest token predicate. I arranged this formulation as a form of tessellation to cover the n-dimensional volume efficiently. The result is a work-in-progress I call the Tessellator. Since this is an experiment it just made sense to open source it and a new update is due in the next week or two. https://github.com/TheOneTrueGuy/tessellator
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Cover image for Another fun and useful project from 2024. I did this work fo...
Another fun and useful project from 2024. I did this work for a nice gentleman named Andy Walters. He was looking to automatically split videos along the natural pause boundaries between sentences. So I wrote up this neat little script that uses the Whisper-Timestamp model and library to find those boundaries and split the video on them so that no words get chopped in mid-utterance. The company Andy was working for didn't make their next round of funding. Before we mothballed the whole thing Andy gave me permission to open source the code. I realized too late, with just one more pass through an LLM you could have the json splitter file that was generated rearranged to split by subject. If I had the time I would include that feature but until then it is still useful like it is. https://github.com/TheOneTrueGuy/G_video_clipper
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Cover image for Lots of projects in the works! Too many really. Opus 4.5 has...
Lots of projects in the works! Too many really. Opus 4.5 has jammed my design episodes into hyper mode. I'm glad I heard Andrew Ng talk about the exhaustion after a day of working with agentic code helpers. That showed up months ago and I still didn't recognize. Now, having to hold so much in my mind at once while it is also growing at a recognizable pace is noticeably stressful. Here is my latest build, a useful agency for questions at high accuracy with 9 different agents available to work in tandem. Special thanks to my friend Enigma Specter who provided the original backend mechanisms. I salvaged his design with a nice web UI and added a web Researcher agent: https://guyzer.pythonanywhere.com/mrce/ You will need to register but it's just an email username and password, no verification loop yet. And you'll need an API key.
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Cover image for Cyclical Adversarial Stepwise Improvement CASI: Live Demo We...
Cyclical Adversarial Stepwise Improvement CASI: Live Demo We talk frequently about AI self-correction but few projects provide a robust architectural loop for it. CASI formalizes the process of non-linear refinement: The Generator proposes a solution or concept. The Critic applies structural pressure and targeted feedback. The system cycles automatically until Structural Coherence is reached. You can now test the CASI engine live and see how an autonomous refinement process delivers structurally superior output: Try the CASI web app here: https://guyzer.pythonanywhere.com/casi/
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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)
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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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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)
Software Engineer(1)
Security Engineer(1)
Data Engineer(1)
Ari Harrison's avatar
Ari Harrison
proSan Francisco, USA
AI & ML Engineer
$1k+
Earned
7x
Hired
28
Followers
AI & ML Engineer
Cover image for Biglabs Consulting-grade template for professional services
Biglabs Consulting-grade template for professional services firms. Manage case studies, articles, services, careers, testimonials, and client consultations with AI-powered analytics. Deploy in minutes, no local setup required. Features Thought Leadership — Publish articles and insights with categories, excerpts, and rich content Service Pages — Present your consulting services with detailed descriptions and feature lists Consultation Booking — Public intake form for prospective clients with scheduling preferences Careers Portal — Post open positions with departments, requirements, benefits, and salary ranges AI Analytics — Claude-powered insights and reporting on your consulting data And more.....
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Cover image for AI Vested An AI-powered investment platform
AI Vested An AI-powered investment platform with Claude AI integration. Deploy in minutes, no local setup required.
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Cover image for AiFee A creator donation and product
AiFee A creator donation and product sales platform. Support creators you love with donations and discover unique digital products. Deploy in minutes, no local setup required.
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Cover image for Claude Travel Hub A modern travel
Claude Travel Hub A modern travel marketplace with tour booking, search, and Claude AI-powered travel recommendations. Built with Next.js 15, React 19, Supabase, and the Anthropic Claude API. Features: Tour Browsing & Search - Browse tours by category, price, destination with advanced filtering Tour Details - Full tour information with booking capabilities Shopping Cart - Add tours to cart with traveler count management User Dashboard - View bookings, saved tours, and travel history Claude AI Assistant - Get personalized travel recommendations powered by Claude Authentication - Secure user authentication with Supabase Demo Mode - Works immediately without any API keys configured Responsive Design - Beautiful UI that works on all devices Travel News - Stay updated with travel tips and destination guides
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ML Engineer(3)
UX Engineer(2)
Data Engineer(2)
Software 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)
ML Engineer(1)
Data Engineer(1)