Bridging 15+ years of scalable SaaS experience with 18 years of AI research.
I’ve always been fascinated by intelligent systems. Long before AI was mainstream, I was experimenting with neural networks, genetic algorithms, and producing hybrid prototypes. With 15+ years of SaaS engineering and a Master’s in AI, I now bridge research-level AI with production-grade software practices.
Pipeline using PCA + rolling ICA to isolate latent return components from OHLCV data.
Repo TBDTransformer encodes volatility & price → initializes LSTM → predicts mean & deviation.
Repo TBDCustom fuzzy layer built on clustered latent embeddings for interpretable decision-making.
Repo TBDI bring something rare: the ability to merge research-level AI with enterprise-scale software engineering.