π AI Engineer | Full-Stack Developer | Deep Learning Researcher
π MS in Computer Science @ Indiana University Indianapolis
π‘ Passionate about building intelligent systems, scalable apps, and solving real-world problems with AI.
- Analyze large-scale neuronal imaging datasets and enhance computational pipelines.
- Develop deep-learning models and apply matrix-factorization methods (CNMF) for calcium-imaging analysis.
- Support visualization workflows to study neural mechanisms.
- Built full-stack fintech features using Angular, Java, and microservices.
- Integrated intelligent NLP/LLM agents and developed ML pipelines for automation and forecasting.
π Indianapolis, IN