P. Venkiteela
European Journal of Artificial Intelligence and Machine Learning (EJ-AI)
Research & Innovation
Advancing the science and practice of enterprise AI through peer-reviewed research, original frameworks, patent innovation, and industry collaboration.
13
Articles
100+
Citations
13
Trade Articles
13 peer-reviewed journal articles and IEEE conference papers on enterprise AI, agentic systems, API modernization, and integration architecture.
P. Venkiteela
European Journal of Artificial Intelligence and Machine Learning (EJ-AI)
P. Venkiteela
IEEE DASET 2026 — International Conference on Data Analytics for Sustainability and Engineering Technology
P. Venkiteela
Scientific Journal of Computer Science (SJCS)
P. Venkiteela
International Journal of Computer Applications (IJCA) — Q2 Journal
P. Venkiteela
Computer Fraud and Security (CFS)
DOI: 10.52710/cfs.817
P. Venkiteela
International Journal of Applied Mathematics (IJAM)
P. Venkiteela
International Journal of Computational and Experimental Science and Engineering (IJCESEN)
P. Venkiteela
International Journal of Computer Applications (IJCA)
P. Venkiteela
European Journal of Information Technologies and Computer Science (EJ-COMPUTE)
P. Venkiteela
International Journal of Computer Applications (IJCA)
P. Venkiteela
Journal of Engineering Research and Sciences (JENRS)
DOI: 10.55708/js0412001
P. Venkiteela
IEEE ICECONF 2025 — International Conference on AI and Knowledge Discovery in Concurrent Engineering
P. Venkiteela
Journal of Information Systems Engineering and Management (JISEM)
13 industry publications on MCP, agentic AI, API gateways, SAP Business AI, and enterprise ROI — published on HackerNoon, DZone, and Techstrong.ai.
HackerNoon
HackerNoon
HackerNoon
HackerNoon
Techstrong.ai
Techstrong.ai
HackerNoon
HackerNoon
DZone
DZone
HackerNoon
HackerNoon
HackerNoon
Documented contributions across leading roles, original innovation, scholarly authorship, judging, professional memberships, and media recognition.
Senior Enterprise Architect roles driving transformation at Trellix, McAfee, and Wipro.
Patent, enterprise frameworks, and production AI architectures adopted at global scale.
AI-powered multi-agent workflow automation
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Nine-layer reference model — published book series
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Published in Scientific Journal of Computer Science (SJCS) — DOI 10.64539/sjcs.v2i1.2026.368
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Published in Journal of Engineering Research and Sciences (JENRS) — DOI 10.55708/js0412001
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13+ peer-reviewed publications, 100+ citations
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Conference judging, hackathon evaluation, and peer review leadership.
IEEE International Conference on Distributed Computing Systems
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Hackathon judge — Devpost
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ICDC Virtual Judging & Enterprise Chapter Certification
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WSI Impact League, Mott Million Dollar Challenge & South Youth Showcase
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National STEM competition judge
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Entrepreneurship and innovation evaluation
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Society of Women Engineers awards judge
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Session Chair — Advancement in Futuristic Technologies
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Session Chair — NIT Agartala, sponsored by SCRS
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Industry Judge — Ulster University, UK
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50+ peer reviews across international journals
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Publications, conference papers, and technical books.
Professional fellowships and senior memberships recognizing excellence.
International press, interviews, and industry features.
My research program focuses on making AI systems that are not only powerful, but deployable, governable, and trustworthy in complex enterprise environments.
Modernizing workflows, vendor-agnostic cloud integration across SAP BTP, Boomi, AWS, GCP, and Oracle Cloud.
Strategic API modernization using Apigee X and comparative analysis of enterprise API management platforms.
Agentic architecture frameworks, MCP interoperability, and secure enterprise AI agents with scalable autonomy.
Machine learning frameworks for retail sales forecasting and applied predictive analytics.
IEEE ICECONF 2025 — reference framework for federated AI across multi-cloud enterprise environments.
Governance and scalable autonomy patterns for enterprise agentic AI systems (SJCS, 2026).
CFS journal article on MCP, APIs, and the future of secure agentic AI in enterprises.
I welcome collaboration with academic institutions, research labs, and industry partners on enterprise AI, trustworthy systems, and applied machine learning research.
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