Industry Experience

I built and deployed distributed systems powering client-facing AI applications. Drove $70K+ in client revenue over first 6 months through infrastructure and systems delivery.

I own CI/CD pipelines, DevOps stack, and backend infrastructure across products and internal tooling. Delivered truth-grounded retrieval and knowledge pipelines for operational automation.

I lead R&D initiatives across graph neural networks, knowledge graphs, and efficient architecture design. Built low-latency, spike-driven inference libraries enabling 1000x compression ratios for deep networks.

I designed and trained models for optical signal classification and anomaly detection. Leveraged GANs and transformer architectures for signal robustness and sequence-level interpretability.

I focused on building reliable deep learning pipelines for real-world optical network monitoring applications.