Projects using PyTorch in Panama CityProjects using PyTorch in Panama CityEnterprise 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. 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. 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 
