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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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136
Cover image for Botpress | The Complete AI Agent Platform
Botpress | The Complete AI Agent Platform
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8
Fullstack Engineer(9)
Security Engineer(2)
Systems Engineer(1)
ML 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 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
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7
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 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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136
Fullstack Engineer(7)
Systems Engineer(3)
Data Engineer(2)
Audio 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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100
Data Engineer(4)
Security Engineer(3)
Systems Engineer(2)
ML Engineer(1)
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 Building Tether — From Noisy
Building Tether — From Noisy Telemetry to Deterministic Operations Role: Lead Architect & Full-Stack Developer Tech Stack: React, Cloudflare (Pages, Workers, R2, Zero Trust), Google Cloud Platform (Cloud Run, Cloud Storage), Python, FastAPI, Scikit-Learn. The Challenge: The Hospitality Data Gap Modern hospitality operators are drowning in data but starving for actionable intelligence. A restaurant's two most critical systems—the Point of Sale (revenue) and the scheduling platform (labor)—operate in complete isolation. Because these systems do not dynamically communicate, managers are forced to make high-stakes labor cuts on the fly based on delayed reporting and gut feeling. This disconnect results in thousands of dollars of weekly margin bleed. The challenge was clear: build a system that bridges these fragmented APIs, normalizes the data, and provides real-time operational certainty. The Solution & The Product Pivot I engineered Tether to be an AI-native operational layer for restaurant management. However, the true breakthrough of this project wasn't just technical—it was architectural. Initially, I designed Tether as a "Live Data Prediction Tool" that used active telemetry to drive real-time floor decisions. Through testing and auditing the data streams, I identified a critical UX flaw: live data is inherently noisy and reactive. To solve this, I executed a complete priority inversion, refactoring the application state to a "Schedule-First" philosophy. Instead of chasing live data, Tether now ingests historical data to generate a deterministic, highly optimized 14-day schedule baseline. The machine learning models were strategically demoted from "decision makers" to "real-time guardrails." Once the floor opens, Tether acts as a safety net, validating execution against the baseline and alerting managers to profit leaks before they compound. Technical Execution: A Masterclass in Edge ML To ensure security, scale, and sub-100ms latency, I architected Tether as a zero-backend Single Page Application (SPA) driven by serverless microservices. Edge Infrastructure & Security: The frontend is deployed via Cloudflare Pages and secured behind a Cloudflare Zero Trust perimeter, requiring One-Time PIN (OTP) authentication for operator access. Data Normalization: I developed Cloudflare Worker proxies to securely handle OAuth handshakes, ingest data from POS systems (Square, Toast) and labor platforms (7shifts), and normalize the varied streams into a unified, sanitized client schema. Autonomous ML Pipeline: I engineered a fully autonomous, serverless retraining loop hosted on Google Cloud Run. Every Tuesday at 3:00 AM UTC, the pipeline wakes up, pulls historical telemetry from Cloudflare R2, and retrains the primary Approval and Labor-to-Sales (LTS) models (using Ridge and Logistic Regression). Strict Data Contracts: The ML pipeline strictly enforces a 63-feature data contract. It validates baseline accuracy and ensures zero NaNs before allowing any model to pass into production, guaranteeing operational stability. Highly Optimized Model Distribution: Fresh model weights are served to the browser via a Dockerized FastAPI microservice (kept aggressively lean at ~500MB) and distributed globally through Google Cloud Storage (GCS). The Business Impact Tether replaces the anxiety of restaurant management with mathematical certainty. By automating the schedule generation and monitoring real-time Labor-to-Sales (LTS) velocity, Tether catches margin bleed live—such as a sudden drop in patio sales pace due to weather. It translates complex ML predictions into simple, actionable alerts (e.g., "Trim one support role. Protects $190 margin."). The result is protected daily profit margins, guaranteed labor compliance, and management teams empowered to run their floors with absolute confidence.
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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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Systems Engineer(5)
Fullstack 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 AI Groceries An AI-powered online grocery
AI Groceries An AI-powered online grocery delivery platform built with Next.js 15, React 19, Supabase, Claude API, and Stripe. Designed around "The Harvest Table" philosophy -- abundant, warm, and grounded in real food provenance.
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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 Courses An online course marketplace
AI Courses An online course marketplace with Claude AI-powered learning recommendations, instructor analytics, and platform management. Deploy in minutes, no local setup required. Features Course Marketplace — Browse, search, and filter courses by category, price, and level Student Dashboard — Track enrolled courses, progress, wishlist, and messaging Instructor Portal — Create courses with structured sections and lessons, manage content Admin Panel — Moderate courses (approve/reject), manage users, configure platform fees Claude AI Integration — Personalized learning recommendations, instructor analytics, platform health reports And more......
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Cover image for Markey A multi-vendor marketplace connecting artisan
Markey A multi-vendor marketplace connecting artisan sellers with collectors. Beautiful dark-first design with Stripe Connect split payments, AI-powered product descriptions, and full admin controls. Deploy in minutes, no local setup required.
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114
Fullstack Engineer(5)
ML Engineer(3)
UX Engineer(2)
Data Engineer(2)
Cory Schmaltz's avatar
Cory Schmaltz
Denver, USA
Full Stack Engineer & AI System Architect & Network Engineer
Full Stack Engineer & AI System Architect & Network Engineer
Cover image for Logistics System for US Army
Logistics System for US Army
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30
Cover image for Obsidian Network Architect
Obsidian Network Architect
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Cover image for NLP pipeline for Federal Document Processing
NLP pipeline for Federal Document Processing
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Cover image for AI-Powered Automatic Marketing System
AI-Powered Automatic Marketing System
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40
Fullstack Engineer(1)
Security Engineer(1)
Systems Engineer(1)
Data Engineer(1)