AI Engineer · Researcher · Practitioner

Samta
Balpande.

Senior Staff AI Engineer at GE Vernova, building production LLM systems and anomaly-detection architectures for the operations of critical infrastructure.

Troy, Michigan 11 Publications 2 Filed Patents IEEE Reviewer
01 / About

Where engineering meets reliability research.

Focus areas
— AIOps
— Anomaly detection
— LLM systems
— RAG & agents
— Causal inference
— Time-series modeling

I am a Senior Staff AI Engineer 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 seven years, I have shipped machine-learning systems for outage prediction at DTE Energy, price optimization 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.

02 / Research

Reliability AI for systems that cannot fail.

Working at the
intersection of
machine learning,
site reliability,
and operations.

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.

03 / Publications

Eleven papers on AI for operations & infrastructure.

Full list and
citations on
Google Scholar.
  1. AI-Powered Anomaly Detection for Real-Time Financial Platform Reliability Monitoring: Benchmarking Machine Learning Algorithms for Detecting Outages, Latency Spikes, and Security Violations in Banking. Anomaly Detection · Financial Platforms
  2. From Incident to Evidence: Autonomous AIOps for DORA-Ready Financial DevOps. AIOps · DORA Compliance
  3. A Reliability Control Plane for Regulated CI/CD: Integrating On-Call Triage, Risk-Tiered Release Governance, and Evidence-by-Design. CI/CD Reliability · Release Governance
  4. From Alert Floods to Action: Correlated Telemetry for High-Volume Banking Systems. Telemetry · Alert Correlation
  5. Graph-Based Control-Impact Modeling for Predictive Change-Risk Mitigation in Regulated DevOps Pipelines. Graph ML · DevOps Risk
  6. Predictive Delivery Intelligence for Payments and Core Banking: Reducing Change Risk at Scale. Predictive Delivery · Core Banking
  7. Operationalizing Ethical AI in Financial DevOps: Balancing Intelligent Automation with Fairness and Accountability. Responsible AI · DevOps
  8. Secure Hybrid Integration for Banking Platforms: Speed, Safety, and Regulatory Proof. Platform Security · Regulatory
  9. Platform Engineering in Regulated Finance: Self-Service Without Losing Control. Platform Engineering · Finance
  10. Exploring the Non-Medical Impacts of COVID-19 Using Natural Language Processing. NLP · Preprints.org · 2020
  11. Steganography Using Genetic Encryption Along with Visual Cryptography. Cryptography · Steganography
04 / Patents

Named inventor on filed patent applications.

Filed via
GE Vernova.
USPTO numbers
available on
request.
Virtual Operator with AI
Named inventor on an AI-based system supporting decision-making for grid-operations personnel.
KAIMD — An AI Tool to Improve the Performance of Utility Control Room Operators in Dispatch
Named inventor on AI-driven decision-support technology for utility control-room dispatch operations.
05 / Service

Peer review & professional service.

Reviewer for
IEEE and
international
conferences.
Invited speaker
at UK
universities.
Reviewer · 2026 IEEE 6th International Conference on Computing, Power, and Communication Technologies (IC2PCT-2026)
Invited via Microsoft CMT; completed a detailed technical review of submission #1476 under double-blind review protocol, evaluating novelty, technical correctness, experimental validation, references, and presentation.
Reviewer · 34th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE 2026)
Invited via Microsoft CMT to review multiple submissions on collaborative-enterprise infrastructure, distributed systems, and enabling technologies.
Reviewer · 4th International Conference on Artificial Intelligence, Machine Learning and Cybersecurity (ICAMC 2026)
Invited via Microsoft CMT to review multiple submissions on AI, machine learning, and cybersecurity.
Invited Speaker · International Conference on Computing and Communication Networks (ICCCNet-2026)
Invited speaker at the conference organized by Manchester Metropolitan University, United Kingdom.
Invited Speaker · International Conference on Networks, Computing Systems and Data Analytics (ICNCDA-2026)
Invited speaker at the conference organized by University of Essex, United Kingdom (online session).
06 / Experience

Seven years of applied ML in industry.

Energy.
Retail.
Utilities.
Critical
infrastructure.
GE Vernova May 2023 — Present · Seattle
Senior Staff AI Engineer
Architect and technical lead for an enterprise-grade AI/LLM platform powering mission-critical grid operations. Designed production RAG and multi-agent systems for document intelligence and operational analytics; established the organization's LLM evaluation and observability framework.
Staples, Inc. Apr 2022 — Mar 2023 · Framingham
Senior Data Scientist
Shipped a production price-optimization engine covering tens of thousands of SKUs using elasticity modeling and Bayesian hierarchical methods. Built NLP and clustering pipelines to rationalize product taxonomy at enterprise scale.
DTE Energy May 2018 — Apr 2022 · Detroit
Data Scientist
Built deep-learning outage-prediction models on weather, AMI, and grid-telemetry data serving millions of customers; engineered scalable Spark/Kafka pipelines processing millions of sensor events daily.
07 / Education

Trained in data science & computer science.

Graduate &
undergraduate
training.
Oakland University M.S., Data Science Rochester Hills, MI
Savitribai Phule Pune University B.Tech, Computer Science & Engineering Pune, India