ISSN 2954-1188 · Registry Live EST. MMXVIII Indexed in Scopus · Web of Science · Crossref
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Vamsi Krishna

Vamsi Krishna Eruvaram

Computers
Sr Data Engineer
Fellow

Vamsi Krishna Eruvaram is a Senior Data Engineer and Enterprise Data Platform Architect with 18+ years of experience architecting, scaling, and modernizing enterprise data platforms across the retail, finance, and healthcare industries. He currently leads distributed analytics engineering at Lowe's Home Improvement, where he designed and deployed a 250+ node Trino platform integrated with Druid, AWS, and GCP � powering 50,000+ daily queries at 99.99% uptime and delivering over $10 million in annual infrastructure savings. An AWS Certified Solutions Architect and published researcher, Vamsi has authored nine peer-reviewed technical papers spanning machine learning, AI, quantum-classical computing, and data engineering, alongside serving as a peer reviewer for academic ML and AI research. His career spans mainframe-to-cloud modernization, MLOps and AI infrastructure, observability engineering, and regulatory compliance (SOX, PCI, GDPR), with prior leadership roles at American Express and AIG. He is recognized for driving open-source adoption, BI democratization, and enterprise-scale automation that translates deep technical expertise into measurable business impact.

5
h-index
214
citations
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Ujwal

Ujwal Dyasani

Computers
Workday
Fellow

Ujwal Dyasani is a seasoned Workday Integrations and ERP Technical Lead with 19 years of experience delivering enterprise-scale HCM and Finance implementations for global organizations across retail, utilities, and multinational public-sector environments. Currently a Lead Software Engineer for Integrations at Ameren Corporation, he drives innovative, out-of-the-box solutions that have saved the organization more than 1.5 FTEs of effort annually, earning him a President's Award shortly after joining. His career reflects deep expertise across Workday Studio, EIB, PRISM, and BIRT, including his design and delivery of more than 45 Workday integrations at Giant Eagle Inc., where he re-engineered a critical integration's runtime from three hours to under five minutes. Earlier in his career, he served as Technical Lead, Data Conversion Lead, and Migration Lead on multinational Workday implementations in Singapore, consolidating 23 disparate benefits programs into four and eliminating 5 FTEs of manual effort - and throughout his career, he has delivered more than 350 hours of formal training, reflecting a consistent commitment to enabling and mentoring the teams he works with.

3
h-index
118
citations
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Baleeswara

Baleeswara Bolleddula

Computers
Fellow

Baleeswara Bolleddula is a seasoned Senior Oracle Apps DBA and Cloud Engineer with over 18 years of experience administering Oracle E-Business Suite and architecting enterprise-grade Oracle Cloud Infrastructure solutions for global enterprises across healthcare, manufacturing, energy, and consumer goods. Currently a Sr. OCI Consultant at Centroid Systems Inc., he leads end-to-end migrations of Oracle EBS environments to OCI, redesigning infrastructure for high availability while achieving zero-downtime transitions to Autonomous Database and reducing manual provisioning effort by more than 60% through Ansible and CI/CD automation. His career reflects deep expertise across Oracle RAC, Active Data Guard, Golden Gate replication, and large-scale database upgrades, including support for CMS healthcare infrastructure at GDIT relied upon by millions of beneficiaries. Earlier in his career, he managed Exadata/Exalogic environments and led global disaster recovery testing at GE Oil & Gas and Cummins Inc. - and he continues to actively expand his expertise, having earned five Oracle certifications in 2025 alone, spanning Autonomous Database, OCI AI Foundations, and Data Platform.

2
h-index
116
citations
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By Discipline

Fellows Distribution

🔬 Chemistry 65 fellows
🌍 Climate Science 2 fellows
📚 Cloud Computing 1 fellows
💻 Computer Science 52 fellows
📚 Computers 3 fellows
🧬 Life Sciences 54 fellows
∑ Mathematics 50 fellows
🧠 Neuroscience 7 fellows
⚛ Physics 64 fellows
📚 Software Development 1 fellows