GENESIS
AI-assisted standardization and governance for complex analytical data ecosystems.
Applied AI · Distributed Data Systems · Data Reliability
Chalapathi Koneni
Senior data engineering leader building reliable, scalable, and decision-grade data platforms for large-scale analytics and AI.
CK
Professional Focus
Applied AI, distributed data engineering, observability, measurement, and enterprise data quality.
20+Years of Experience
3+ PBDaily Data Scale
12+Global Markets
IEEESenior Member
About
Engineering trustworthy data systems at scale
I work at the intersection of applied AI, distributed systems, data quality, analytics, and measurement. My work focuses on building systems that make enterprise data more reliable, observable, and ready for high-impact decisions.
Original Contributions
Selected systems and research themes
PRIMER
Measurement-readiness infrastructure that accelerates transformation of data into model-ready inputs.
CREAM
Reconciliation and validation architecture for detecting inconsistencies across multiple data sources.
Evidence-Quality Telemetry
Observability methods for improving incident response and reliability in large-scale cloud systems.
Publications
Research and technical publications
Evidence-Quality Telemetry for Cloud Incident Response
Research on detecting gaps, drift, and integrity failures in large-scale observability pipelines.
Silent Data Corruption in Distributed GenAI-Augmented Data Pipelines
Methods for identifying structurally valid but semantically corrupted data in modern distributed pipelines.
A Cloud-Native Approach to Statistical Anomaly Detection and Automated Data Quality Validation
Cloud-native statistical methods for large-scale automated data quality monitoring.
Speaking
Keynotes, invited talks, and technical sessions
DAMA Georgia
Data Quality in the Age of AI: Detecting and Preventing Silent Data Corruption.
IEEE NEXOTECH
Keynote on data quality, AI-era reliability, and large-scale engineering systems.
Prime Video Engineering Summits
Technical presentations on measurement readiness, cost optimization, and large-scale data platforms.
Professional Service
Reviewing, judging, and technical leadership
Conference Reviewing
Reviewer and program committee service across IEEE and international conferences in distributed systems, data engineering, and applied AI.
Editorial and Book Reviewing
Technical reviewer for CRC Press and other scholarly and professional publication programs.
Track and Program Leadership
Track chair, TPC chair, and committee roles supporting technical quality and peer review.