Manufacturing software first — inspection analytics, vision training, and engineering knowledge systems — plus independent research in AI agents, blockchain, and algorithmic trading since 2013.
Since 2013, TopX has been my platform for building intelligent systems at the intersection of AI, blockchain, algorithmic trading, and advanced automation. The work spans decentralized infrastructure, machine learning, computer vision, financial modeling, and Web3 application development.
I design automated trading strategies using ThinkScript, PineScript, and Python — market-responsive algorithms, signal-generation logic, and backtesting frameworks that evaluate performance, risk, and repeatability across changing market conditions. On the blockchain side, I research and prototype decentralized applications, tokenization systems, NFT marketplace components, and Ethereum-based architectures, with a focus on secure smart-contract design, scalable system architecture, and cross-contract communication.
Alongside this work I lead advanced vision and automation initiatives at Universal Instruments — a rare bridge between real-world industrial automation and emerging computational technologies. Rlab, my founder-led software and engineering lab, gives this work a home: practical prototype systems across AI agents, manufacturing data systems, financial modeling, blockchain engineering, automation tooling, and technical documentation.
Where the portfolio touches the factory floor — software that makes inspection data easier to understand, validate, and act on after measurement.

Offline Cognex VisionPro training with curriculum, quizzes, and certification finals.

Local RAG knowledge base for engineering documents — FastAPI, React, vector search, streaming chat.

Drill-drawing and CSV nominal data converted into inspection-ready coordinate grids.
Smart-contract development and system architecture on the Ethereum Virtual Machine — from token standards to full DeFi platforms.
Two research platforms: one extracts actionable insight from noisy financial information, the other builds AI agents that reason, learn, and automate.
“A reward-based reinforcement model where agents continuously improve their decision-making based on trading outcomes.”— TopX Reinforcement Gym
Research into Ethereum Virtual Machine performance — scalability, layer-2 integration, off-chain computation, and protocol-level improvements for faster, more efficient decentralized systems.
A reinforcement gym where AI agents learn to trade — plus the algorithmic strategies and data infrastructure behind them.
Specialized language models (SLMs) fused with multi-modal inputs — text, visuals, audio — for cognitive analysis in finance, healthcare, and law.
Original NFT character art from the TopX collection.






Live market dashboards and a global market snapshot — the data side of TopX.