Samta
Balpande.

I am a Sr. Staff Software Engineer (AI/ML) at GE Vernova, where I lead architecture for the enterprise AI and LLM platform powering mission-critical electric-grid operations. My work spans the full stack of production AI — from data and evaluation to deployment, observability, and cost/latency optimization.

Over the last ten years, I have shipped systems across the financial-data domain at Atos Syntel (client: American Express), grid-reliability modeling at DTE Energy, ML-driven pricing at Staples, and LLM-driven operational intelligence at GE Vernova. Across those roles I have authored eleven publications on AIOps, anomaly detection, regulated CI/CD reliability, ethical AI, and platform engineering, and I am a named inventor on two filed patent applications.

I serve as a reviewer for IEEE international conferences and have been invited to speak at conferences hosted by Manchester Metropolitan University and the University of Essex.

My research and engineering focus is the production reliability of intelligent systems operating in regulated, high-stakes environments — power grids, banking platforms, and industrial control rooms. I am especially interested in:

Anomaly detection on multivariate telemetry — designing models that surface meaningful weak signals from millions of daily events without drowning operators in false positives.

Agentic AIOps — building multi-agent orchestration that triages alerts, correlates evidence across systems, and produces audit-grade incident narratives suitable for regulated industries.

LLM systems engineering — making retrieval, evaluation, and inference reliable at scale, with grounded citations, drift monitoring, and cost-aware routing.