I am Sai Krishna Puli, an enterprise technology leader with over 20 years of IT experience bridging the gap between cutting-edge artificial intelligence and complex enterprise ecosystems. Currently, I serve as the Lead Application Architect and Data Architect at LabCorp Drug Development Inc., where I design and scale data platforms and AI-driven systems across clinical trial, laboratory, and public health data domains. Throughout my career, my focus has been on transforming healthcare data architecture and core business operations through intelligent automation. My expertise spans Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems, alongside core healthcare infrastructure like HL7/FHIR-based interoperability and clinical data systems. Whether architecting event-driven architectures utilizing Apache Kafka and Microsoft Dynamics 365, or migrating massive CRM workloads to Google Cloud Platform, I specialize in building highly resilient, scalable, and secure systems. I am deeply committed to advancing the industry through both practical engineering and academic research. I have authored several peer-reviewed publications focusing on explainable AI for pre-analytical error detection, hybrid LLM-graph architectures for billing risk detection, and high-performance data pipelines using Polars. My contributions to the field are recognized through professional distinctions, including holding an Oracle Agentic AI Certification, PMP, and Databricks Foundation Certification. Furthermore, I serve as a Peer Reviewer for the Society for Clinical Research Sites (SCRS) and hold a Full Membership in Sigma Xi, the Scientific Research Honor Society. Driven by a passion for solving complex, high-stakes data challenges, I thrive at the intersection of AI innovation, cloud data warehousing, and operational excellence, ensuring that enterprise systems are not only robust today but fully prepared for the future.
International Editorial board member
Mr. Sai Krishna Puli
Research Interests :
Introduction
AFFILIATION
Data Architect/Lead Application
IT - Global Specimen Solutions
LABCORP DRUG DEVELOPMENT INC
399 Blue Juniper CIR
Loganville
United States
30052
Email : SAI.PULI@LABCORP.COM
RESEARCH IDS
| # | ID Type |
|---|---|
| 1. | ORCiD |
| 2. | Google Scholar |
| 3. | Research Gate |
RESEARCH INTERESTS
| # | Area |
|---|---|
| 1. | AI / LLM / RAG Systems |
| 2. | Artificial Intelligence |
| 3. | Clinical Data Integration |
| 4. | CRM, Data Analytics, Data Warehousing & BI |
| 5. | Deep Learning & Machine Learning |
| 6. | Health Information Exchange (HIE) |
| 7. | Healthcare Data Architecture, |
| 8. | Healthcare Data Interoperability |
| 9. | Healthcare Data Quality & Exception Management |
| 10. | HL7 / FHIR |
| 11. | Laboratory Informatics |
| 12. | Public Health Informatics |
PAPERS PUBLISHED
| # | Article Title | Year |
|---|---|---|
| 1. | Modernizing CRM Data at Scale: A Reference Architecture, Deployment Pipeline, and Mapping Design for Migrating Microsoft Dynamics 365 to Google Cloud Platform with Kafka, SQL DB.” 2026 | 2026 |
| 2. | Blood Banks Solved AI’s Trust Problem 60 Years Before AI Existed.” Medium, 2026. | 2026 |
| 3. | From a 90-Minute OOM Kill to a 12-Minute Success: How Polars Saved Our 11-Million-Row Pipeline.” Medium, 2026. | 2026 |
| 4. | “From a 90-Minute OOM Kill to a 12-Minute Success: How Polars Saved Our 11-Million-Row Pipeline.” Medium, 2026 | 2026 |
| 5. | A Hybrid LLM–Graph Architecture for Laboratory Billing Discrepancy and Overpayment Risk Detection.” International Journal of Advanced Engineering Science and Information Technology, 2025. | 2025 |
| 6. | An Explainable AI Framework for Predictive Clinical Specimen Quality Management and Pre-Analytical Error Detection.” European Journal of Advances in Engineering & Technology, 2024 | 2024 |
| 7. | A Fail-Closed Architecture for Cryptographically Enforced Recipient Authorization in Clinical Trial Data Delivery.” International Journal of Information Technology and Management Information Systems, 2023. | 2023 |
| 8. | Integrating Microsoft Dynamics 365 CRM with Apache Kafka: A Scalable Event-Driven Architecture and Data Synchronization Mechanism.” International Journal of Computer Engineering and Technology, 2021 | 2021 |
BOOKS PUBLISHED
| # | Title | Publication Year |
|---|
BOOK CHAPTERS PUBLISHED
| # | Chapter Title | Book Title | Publication Year |
|---|
ACADEMIC PROFILE
| # | Examination | Passing Year | Country |
|---|---|---|---|
| 1. | B.Tech (Computer Sciences) | 2006 | India |
EMPLOYMENT DETAILS
| # | Institution | Position | Country | Service Period |
|---|---|---|---|---|
| 1. | LabCorp Drug Development Inc | Lead Application Architect / Data Architect | United States | 19 years, 9 months, 16 days |
| Total Period : | 19 years, 9 months, 16 days |
PAPERS PRESENTED IN CONFERENCES
RESEARCH PROJECTS
MEMBERSHIPS
TRAINING PROGRAMS ATTENDED
HONOURS AWARDS AND DISTINCTIONS
EVENTS ATTENDED
EVENTS ORGANIZED