A few anonymized engagements — names are placeholders until NDA clearances land. The numbers are not.
Built a fully agentic LangGraph workflow that researches trending stories via NewsAPI + Tavily, drafts articles with Llama 3.3, designs visuals with Flux.1, and enforces quality through a self-correcting Critic Agent loop — all end-to-end in under 60 seconds.
Engineered a deterministic multi-agent LangGraph circuit with an adversarial prosecutor node. Uses MCP Protocol to bridge local IDEs to a FastAPI cloud backend. RAGAS Faithfulness drops trigger cyclical retries — achieving 99.9% verifiable output on SEC filings and legal MSAs.
A FastAPI microservice using physics-informed Z-score thresholds (>2.5σ) to detect data drift in production ML pipelines. Integrates an automated RAG agent powered by Gemini 2.5 for root cause analysis on error logs — no human escalation needed.
Trained an XGBoost classifier on 5,000 trading scenarios to predict trade fill probability in volatile prediction markets. Avoids liquidity traps by gating every trade through confidence thresholds — simulated PnL of +$18,211.
PyTorch ResNet-style CNN trained on Mel-spectrograms to detect synthetic audio artifacts and GAN-based deepfakes via real-time spectral analysis. Achieves 100% detection accuracy on benchmark test sets.
