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Rob Maclean's avatar
Rob Maclean
maxDurban, South Africa
Developing award-winning apps. Deploying AI-native engineers
$100k+
Earned
17x
Hired
4.7
Rating
175
Followers
FLUTTERFLOW_EXPERT

Coach

FLUTTERFLOW_AGENCY_EXPERT

Agency

+1
Developing award-winning apps. Deploying AI-native engineers
Cover image for Zuzi: Compassionate Chatbot for GBV Support
Zuzi: Compassionate Chatbot for GBV Support
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Cover image for Weaver The Engineering Intelligence Platform We
Weaver The Engineering Intelligence Platform We Built to See Our Own Delivery Clearly. Background We run projects across six tools — Cursor, Jira, GitHub, Google Workspace, Figma, and Slack — each holding one slice of the truth about how a project, or a person, is actually doing. Getting a straight answer to “how is the team doing?” meant manually cross-referencing all six, usually after a deadline had already slipped. We built Weaver to remove that manual step, for ourselves first. Problem Statement Sprint velocity and ticket quality lived in Jira. Code activity lived in GitHub. AI tool usage and spend lived in a separate admin console. Design progress lived in Figma. Meeting load and communication patterns lived in Google Workspace and Slack. None of it talked to each other, so status updates were built by hand, and risk — an overloaded developer, a stalled branch, a quality regression — usually surfaced in a meeting, not before one. Solution Weaver syncs all six sources into one database every night, on demand, and via historical backfill, then computes the same metrics the same way for everyone. It presents them through gamified leaderboards, per-member scorecards, and project health dashboards. A built-in AI assistant answers plain-language questions about the data directly, and an automated risk-alerting engine flags problems before they become delivery issues.
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Cover image for Digital Marketplace Development
Digital Marketplace Development
1
22
Cover image for Card Vision
Card Vision
0
31
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Jacob Dzikowski's avatar
Jacob Dzikowski
Warsaw, Poland
Fullstack Engineer | AI Engineer | 6+ years of experience
$5k+
Earned
2x
Hired
5.0
Rating
49
Followers
Fullstack Engineer | AI Engineer | 6+ years of experience
Cover image for RAG AI Agent & Chatbot
RAG AI Agent & Chatbot
1
85
Cover image for AI/ML Engineering & Development
AI/ML Engineering & Development
10
762
Cover image for AI Agent for Financial Analysis & Data Scraping
AI Agent for Financial Analysis & Data Scraping
0
31
Cover image for AI Real Estate Agent Development
AI Real Estate Agent Development
2
23
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AI GRINDA's avatar
AI GRINDA
Daejeon, South Korea
Custom LLM Solutions for Business ROI Boost
$50k+
Earned
1x
Hired
5.0
Rating
8
Followers
Custom LLM Solutions for Business ROI Boost
Cover image for AI Agent Taskforce for Business ROI
AI Agent Taskforce for Business ROI
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24
Cover image for Multilingual Translation System for Financial Group
Multilingual Translation System for Financial Group
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29
Cover image for AI-Powered Social Media Automation that Writes Like Your Brand
AI-Powered Social Media Automation that Writes Like Your Brand
0
29
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Md Rajibul Ahsan's avatar
Md Rajibul Ahsan
proDhaka, Bangladesh
Full-Stack App & Web Developer | AI & Store Launch , UI/UX
20
Followers
Full-Stack App & Web Developer | AI & Store Launch , UI/UX
Cover image for 🚀 Run Your Own AI
🚀 Run Your Own AI Locally — No Cloud Required! Want to run an AI model like ChatGPT directly on your computer? Here's a simple setup using Llamafile and Qwen3 4B Thinking: Step 1: Download Llamafile Search for Llamafile GitHub and download the latest release. Step 2: Download the Model Get the Qwen3 4B Thinking 2507 GGUF model from Hugging Face. Step 3: Create a Batch File Create a .bat file in the same folder and add: .\llamafile-0.10.3.exe -m qwen3-4b-thinking-2507.Q4_K_M.gguf --server --gpu disable Step 4: Launch Your AI Double-click the .bat file to start the server. Step 5: Open in Browser Visit: http://127.0.0.1:8080/ That's it! 🎉 You now have a private AI assistant running entirely on your own machine—no subscriptions, no API keys, and no internet dependency after setup. ✅ Full local control ✅ Better privacy ✅ Works offline ✅ Easy to set up Have you tried running LLMs locally yet? Share your experience in the comments.
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Cover image for Designed a modern beauty &
Designed a modern beauty & skincare eCommerce mobile app focused on creating a smooth, premium shopping experience. The UI combines elegant product presentation with intuitive navigation, making it easy for users to discover products, explore personalized skincare recommendations, save favorites, manage their wishlist, and complete purchases seamlessly. The experience includes product discovery, categories, personalized routines, wishlist, cart, order summary, and checkout flows, all designed with a clean visual system and conversion-focused UX.
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81
Cover image for A client handed us a
A client handed us a spreadsheet with 47 features on it. We told them to build 4. They wanted everything their competitor had, plus every "nice to have" a user had ever mentioned. We asked one question: "What's the one thing this needs to do well?" Silence. So we cut it down. 4 features, done properly. Three months later - higher activation than their old, "complete" product ever had. Users didn't miss the other 43. They were too busy using the thing that actually worked. More features isn't ambition. It's often fear, wearing a to-do list. Build the right thing. Not the long thing. Website - https://lnkd.in/gQYHTRGA (https://lnkd.in/gQYHTRGA)Upwork - https://lnkd.in/gurdsM4j... Email - contact@attoexasolutions.org (mailto:contact@attoexasolutions.org)📩 Staring at your own feature spreadsheet? Let's talk about what to cut.
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Cover image for 97+ projects. 97% job success.
97+ projects. 97% job success. Swipe to see how we got here → We're AttoExa Solutions - a Dhaka-based team building for US and EU businesses in construction, real estate, and B2B services. What we actually do: → Custom mobile apps (Flutter, React Native) → Full-stack web development → AI agents that answer calls, qualify leads, and handle support — built on n8n, Vapi, ElevenLabs, and Go High Level Website - https://attoexasolutions.com/ (https://attoexasolutions.com/)Upwork - https://www.upwork.com/freelancers/rajibulahsan?mp_source=share (https://www.upwork.com/freelancers/rajibulahsan?mp_source=share)Email - contact@attoexasolutions.org (mailto:contact@attoexasolutions.org)#softwaredevelopment (https://www.instagram.com/explore/tags/softwaredevelopment/?hl=en) #aiautomation (https://www.instagram.com/explore/tags/aiautomation/?hl=en) #techstartup (https://www.instagram.com/explore/tags/techstartup/?hl=en) #smallbusiness (https://www.instagram.com/explore/tags/smallbusiness/?hl=en) #digitalagency (https://www.instagram.com/explore/tags/digitalagency/?hl=en) #b2b (https://www.instagram.com/explore/tags/b2b/?hl=en) #webdevelopment (https://www.instagram.com/explore/tags/webdevelopment/?hl=en) #appdevelopment (https://www.instagram.com/explore/tags/appdevelopment/?hl=en)
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72
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Ali Hassan's avatar
Ali Hassan
Lahore, Pakistan
Sr.Full Stack Consultant and Developer with 8+ years of exp
$10k+
Earned
1x
Hired
5.0
Rating
13
Followers
Sr.Full Stack Consultant and Developer with 8+ years of exp
Cover image for AI-Driven Brand Intelligence Platform Integration
AI-Driven Brand Intelligence Platform Integration
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17
Cover image for Exploring structured prompting with Kittl. For
Exploring structured prompting with Kittl. For this entry, I created a cinematic luxury footwear concept that captures the moment just before completion, where each component comes together to form the final design. The project includes a women’s high heel video and a three-image sneaker composition, focusing on detail, craftsmanship, and premium aesthetics through realistic textures and refined branding. This highlights how structured prompting can transform an idea into a visually polished result.
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Cover image for 🔥 Full-Stack Development - RankBee
🔥 Full-Stack Development - RankBee AI I worked as a Full-Stack Developer on RankBee an AI visibility platform that helps brands track and improve how they appear across AI search engines. 💡 Key contributions: ⚡ Interactive dashboards for AI visibility ⚡ Tools to track competitors and benchmark presence ⚡ AI-driven content optimization workflows ⚡ Prompt-based testing systems ⚡ Streamlined data processing into actionable insights The platform shows how AI interprets a brand which competitors are recommended and how to optimize content for better AI visibility. I focus on solving complex technical challenges and delivering products that give businesses a real advantage. If you’re developing AI-driven tools or ambitious platforms, let’s collaborate.
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Cover image for I also designed and developed
I also designed and developed https://infinite-compute.com/, a cloud-powered platform that enables users to access high-performance GPU machines and run demanding 3D tools directly from the web without expensive local hardware. I built the complete system architecture myself including the frontend backend services and cloud infrastructure focusing on performance reliability and secure access to remote computing resources. The platform provides a responsive interface to launch and manage GPU sessions while the backend handles session orchestration user management and compute allocation. The system was designed to maintain stable remote sessions efficiently manage resources and provide secure authentication so developers designers and 3D artists can run heavy software on demand from anywhere.
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180
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Svetlana Rumyantseva's avatar
Svetlana Rumyantseva
Panama City, Panama
Founder & AI Systems Architect
New to Contra
Founder & AI Systems Architect
Cover image for Enterprise Multimodal AI Platforms (NDA) Designed
Enterprise Multimodal AI Platforms (NDA) Designed and developed two production-grade enterprise AI platforms under NDA, taking ownership of the complete AI lifecycle from research and system architecture to production deployment and long-term platform support. The platforms integrated LLMs, RAG, Computer Vision, OCR, intelligent document processing, AI agents, custom neural networks, benchmarking, model evaluation, dataset engineering, synthetic data generation, model training, fine-tuning, optimization, and scalable production inference pipelines.
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26
Cover image for Horse Health AI is a
Horse Health AI is a Golden Dragon AI DeepTech project for portable, non-invasive, multimodal animal health screening and longitudinal health intelligence. I designed the system around a compact multimodal sensor architecture combining RGB Computer Vision, multi-wavelength NIR, radiometric thermal imaging, structured/polarized optical sensing, and motion and geometry data. Rather than analyzing each signal independently, the AI architecture is designed to fuse complementary modalities and evaluate visible anatomy, gait and behavior, thermal patterns, vascular and perfusion-related features, tissue-related optical signals, movement, and individual history. A key part of the architecture is the Individual Digital Baseline. Each animal can become its own longitudinal reference, allowing new scans to be compared not only with validated population-level knowledge but also with that animal's historical normal patterns. The software architecture includes synchronized acquisition, calibration, multimodal registration, per-modality AI models, longitudinal baseline modeling, multimodal embeddings and fusion, veterinary knowledge/RAG, explainable anomaly localization, confidence and uncertainty assessment, and mobile and research interfaces. The project is designed as a screening and decision-support system, not as a replacement for veterinary diagnosis. Veterinary expertise, clinically confirmed data and validation are explicit parts of the development roadmap. The initial platform is focused on horses, with potential expansion to other animal species following species-specific validation.
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Cover image for Food as Healing AI is
Food as Healing AI is a personal AI nutrition and food intelligence platform designed around the individual. The platform builds a persistent Personal Nutrition Profile from the user's goals, food habits, lifestyle, preferences, restrictions, ingredient policies, practical constraints, feedback, and optional user-provided laboratory context. Its food intelligence pipeline uses Vision/OCR, ingredient extraction and normalization, an ingredient and additive knowledge base, RAG, and structured product analysis to help users understand what is actually represented in a food product. A Personal Matching Engine is designed to connect structured product information with each user's individual food policy — including hard exclusions, preferences, dietary patterns, nutrition goals, clean-label requirements, and ingredient rules. The broader architecture is modular and multi-agent. Specialized agents are designed for personal profiles, questionnaires, nutrition, ingredients, products, matching, shopping, meal planning, knowledge retrieval, and continuous feedback. The current technical foundation includes a Google Cloud backend, Supabase, RAG, prompt/AI orchestration, external AI model integration, an ingredient/additive knowledge base, and an image-based ingredient analysis prototype. The goal is not to provide another generic diet app or diagnostic system, but to create a personal AI food consultant that learns how an individual wants to eat and turns that profile into explainable everyday food decisions.
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Cover image for Golden Dragon Quantum Trading AI-Native Multi-Agent
Golden Dragon Quantum Trading AI-Native Multi-Agent Intelligence for Active Crypto Trading Golden Dragon Quantum Trading is a highly customizable AI-native crypto trading intelligence and controlled execution platform. I designed the platform around a distributed multi-agent architecture: the trader communicates with one Main AI, while a network of specialized intelligent AI agents analyzes different market domains in parallel, including market structure, order books and liquidity, derivatives, volume and flow, whale activity, cross-exchange conditions, news, risk, and trading strategies. The architecture combines personalized trading strategies, manipulation and anomaly detection, whale and hidden-liquidity intelligence, multi-agent confirmation, hybrid quantum-classical computation, and a proprietary orchestration and real-time communication architecture. A separate System Control Core supervises system state and permissions, while Protective Gates validate risk, strategy, market, exchange, and execution conditions before authorized actions reach the Execution Robot. The platform is designed for multi-exchange operation, including Binance, Bybit, Bitget, OKX and Kraken. User funds remain in the trader’s own exchange accounts. I also built the customer-facing product environment, including registration, authentication, subscriptions, payments, personal access tokens, exchange connection, multi-exchange selection, TradingView integration, multilingual functionality, and the Main AI trading workspace. My role: Founder, AI Systems Architect & Developer Project: Architecture, AI/ML, Multi-Agent Systems, Trading Intelligence, Backend, Cloud, Product Development
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