AI Applications That Actually Work
Not another chatbot wrapper. I build AI applications with proper guardrails, context management, and domain-specific safety — because in fintech, a wrong AI response can cost real money.
What I Build with AI
AI-Powered Bots
Discord, Slack, and Telegram bots with LLM integration. Context-aware conversations, command systems, community management. Built a 30-command trading bot with GPT-4o.
LLM Integration
GPT-4o, Claude, and open-source model integration into existing applications. System prompts, conversation context, response validation, streaming.
AI Safety & Guardrails
Content filtering, response validation, domain-specific restrictions. Critical for financial, healthcare, and regulated industries where AI responses have consequences.
Content Automation
Newsletter generation, report automation, data summarization pipelines. AI-powered content that sounds human and serves a purpose.
Data Pipelines for AI
Feature engineering, data preprocessing, embedding generation, vector search. The infrastructure that makes AI applications actually work.
ML Signal Systems
Supervised learning for prediction — XGBoost, LightGBM, LSTM. Walk-forward validation, ensemble methods, real-time inference via FastAPI.
AI Engineering Articles
Need AI in Your Product?
From LLM integration to custom ML systems — let's build AI that's safe and useful.