🤗 Anix Lynch
AI Data Engineer - Production ML Applications
📉 Churn ML Pipeline
Production ML pipeline with Great Expectations validation (47 rules), ensemble modeling (3 models: XGBoost, LightGBM, CatBoost), 94% AUC
Great Expectations • XGBoost • LightGBM • CatBoost • FastAPI • Streamlit • Ensemble ML
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🛡️ Real-time Fraud Detection
Streaming ML pipeline with <200ms p95 latency, processes 30M transactions/day, Kinesis + DynamoDB
Kinesis • DynamoDB • FastAPI • Streamlit • Real-time ML • Anomaly Detection
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🎨 Multimodal GenAI Studio
Multi-modal AI application for text, image, and audio generation using PyTorch and HuggingFace Transformers
PyTorch • Transformers • Multi-modal AI • Gemini • DALL-E • Whisper
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💰 Financial Modeling Automation
PE/VC financial modeling with DCF automation (12 scenarios), automated Excel generation
Python • Pandas • Plotly • Excel Automation • DCF • Financial Modeling
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