Training & evaluation
Qwen3-8B LoRA classification with calibrated probabilities and structured holdouts.
Review workspace for this classifier: compare predictions and evidence, investigate disagreements, and export review notes. The live demo uses synthetic cases.
Smart contract analysis
A language model fine-tuned to analyze risk-related behavior in EVM contracts.
Data and trading research
Python tooling for liquidity and wallet-flow research, with historical trading-rule experiments.
Applied ML · Trading tools
A memecoin trading bot on Robinhood Chain with on-chain monitoring, model-assisted token evaluation and Grok research.
Agent tooling
A token launch application with authenticated agent APIs, paid image generation and recovery of interrupted workflows.
Incremental backfills, normalized SQL tables and reconciliation checks, with recovery tests for duplicate events, missing blocks and recorded reorg scenarios.
I started with GPU programming at university, implementing an iterative algorithm for global optical flow in CUDA. I then moved into mobile app and game development for iOS and Android.
Later, my focus shifted to on-chain research: investing my own capital and building tools for portfolio monitoring, trading and arbitrage experiments.
More recently, I’ve returned to my earlier interest in AI, working on model fine-tuning, evaluation and ML tools.