Freelancers in Panama CityFreelancers in Panama City
Marketing Operations, CRM & Project Delivery Consultant
$25k+
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1x
Hired
5.0
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17
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Marketing Operations, CRM & Project Delivery Consultant
Founder & AI Systems Architect
New to Contra
Founder & AI Systems Architect
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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AI & Business Productivity | Presentations & Data
New to Contra
AI & Business Productivity | Presentations & Data
Artist
Artist and Graphic Designer
Artist and Graphic Designer