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Alexandru X

Warsaw, Poland

Polymath | Strategic Innovator | Versatilist

Multi-VM Honeypot Network Setup and Log Analysis

AI Data Extraction and Processing

Automation System - SEO/Marketing Agency

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proSan Francisco, USA

AI & ML Engineer

$1k+: Earned

7x: Hired

28: Followers

AI & ML Engineer

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 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 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

153

Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert

$10k+: Earned

12x: Hired

4.4: Rating

36: Followers

Enterprise Cloud · DevOps · AI/ML · Email · Marketing Expert

Maximize Data Protection & Availability with Vetted Veeam Expert

$501 earned

IT/AI Infrastructure Support

Serverless Architecture for Scalability & Efficiency at VMLA

Legacy System Scalable and Secure Modernization

Systems Engineer(4)

Cloud Security Engineer(1)

Business Systems Architect | RVW Systems

1x: Hired

5.0: Rating

7: Followers

Business Systems Architect | RVW Systems

AI Guest-Flow Intelligence System Design

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

210

Robotics, automations. System architecture. PCB design.

$1k+: Earned

1x: Hired

5.0: Rating

4: Followers

Robotics, automations. System architecture. PCB design.

Cover image for From red and blue traces

From red and blue traces on a screen to a fully fabricated PCB - the hardware design process is always exciting. But the greatest reward is seeing the final product in action. Hearing scientists use my boards alongside their high-grade lab equipment makes all the hard work completely worthwhile.

233

Inline 1 to 2 CAN Bus router. Self contained, inline potted router flashed for a specific piece of hardware translating abstracted message to hardware specific messages and signals.

Water quality logger for divers

160

Cover image for CANaBUS Mini Relay: ROS2 Edge

CANaBUS Mini Relay: ROS2 Edge Controller The CANaBUS Mini Relay is a compact, high-performance edge board powered by a Teensy 4.1. Designed for industrial ROS2 applications, it combines high-speed networking with robust load switching. 🛠️ Core Capabilities Quad Relay Output: 4x HF115F relays driven by AO3400 MOSFETs for controlling high-voltage devices via differential switching. Ethernet Connectivity: Integrated RJ45 MagJack for native high-speed ROS2 communication. 4x Analog Inputs (ADC): Utilizes available Teensy 4.1 pins to provide 4 ADC channels, essential for validating voltage differentials or sensor feedback in control loops. Industrial Power: Wide +9V to +30V DC input with LM2596S-5.0 buck regulation and TVS surge protection.

183

AI-Powered Product Designer & Developer

New to Contra

AI-Powered Product Designer & Developer

Cover image for Government-grade iOS Application (Case &

Government-grade iOS Application (Case & Data System)

241

Cover image for First Civic Digital Communication Platform

First Civic Digital Communication Platform in Egypt

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Cover image for FlowPilot AI — Enterprise Operating

FlowPilot AI — Enterprise Operating System for Modern Teams

141

Cover image for New Al Nasiriya Primary School — Digital School Management P...

New Al Nasiriya Primary School — Digital School Management Platform

Systems Engineer(2)

Security Engineer(1)

Platform Engineer(1)

Cloud Security Engineer(1)

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.

191

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.

185

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.

125

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

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

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.

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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Software Engineer(13)

ML Engineer(1)

Audio Engineer(1)

Data Engineer(1)