Public Influencer
Shaping the global AI and data engineering community through research review, conference leadership, knowledge sharing, and academic mentorship
Keynote Speaker — International IEEE Conferences
Invited as keynote speaker at international IEEE-affiliated conferences, delivering talks on AI-driven data systems and cloud-native architectures
BIDA 2026 — Keynote Speaker Certificate
⤢ ViewIMED 2026 — Keynote Speaker Certificate
⤢ ViewTechnical & Advisory Committee — International Conferences
Serving on technical program and advisory committees for international conferences, contributing to scientific standards and research direction in AI and data engineering
ICAIE 2026 — Technical Committee Certificate
⤢ ViewICBDA — Technical Committee Certificate
⤢ ViewIMED — Advisory Committee Certificate
⤢ ViewInternational Conference Reviewer
Peer review contributions across AI, cybersecurity, signal processing, and emerging technology conferences
AICCoNS — Reviewer Certificate
⤢ ViewAIEI 2026 — Reviewer Certificate
⤢ ViewICIPTM — Reviewer Certificate
⤢ View
ICISCN 2026 — Reviewer Certificate
⤢ ViewQCETS — Reviewer Certificate
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SASIG-D — Reviewer Certificate
⤢ ViewWriting Blogs & Knowledge Sharing
Thought leadership, technical writing, and industry insights that bridge data, AI, and observability.
DataVersity Blog
This blog explores why observability for business intelligence and observability for artificial intelligence require different approaches. It draws on practical lessons from large-scale analytics, cloud data platforms, and AI system monitoring.
Read the full article on DataVersity: Why Observability for BI is Not Observability for AI.
HackerNoon Blog
This story argues that AI's core challenge is not data, but decision-making. It explains how decision intelligence, automation, and operational alignment are the missing links for enterprise AI success.
Read the full article on HackerNoon: AI Doesn't Have a Data Problem—It Has a Decision Problem.
Dev.to Blog
A deep retail observability article that shows how AI-powered predictive monitoring helps data pipelines catch silent corruption before business users notice.
Read the full article on Dev.to: Beyond Monitoring: Building AI-Powered Predictive Observability for Retail Data Pipelines.
Dev.to Blog
Practical strategies for optimizing BigQuery costs in production, with proven approaches to reduce spend while keeping analytics fast and reliable.
Read the full article on Dev.to: How to Optimize BigQuery Costs (Real Techniques That Work).
Medium Blog
Near real-time streaming ingestion into BigQuery without Dataflow and Pub/Sub, with a practical architecture for low-overhead Kafka + Flume + GCS pipelines.
Read the full article on Medium: Near Real-Time Streaming Ingestion into BigQuery without Dataflow and Pub/Sub.
Community Impact
Active contributor to the global technology community across research, academia, and industry
Research Peer Review
Reviewed 80+ technical research papers across AI/ML, robotics, quantum computing, cybersecurity, energy, and cloud computing — contributing to the quality and integrity of global academic publishing.
Conference Leadership
Technical Program Committee member for 4 international conferences spanning Austria, UAE, Spain, and China — helping define research tracks, review criteria, and scientific standards for the global AI community.
Scholarly Publications
Publishing peer-reviewed research in IEEE conferences and international journals — disseminating applied knowledge on generative AI, streaming architectures, and trustworthy AI to the global research community.
Industry Award Judging
Serving as a judge for Globee Awards across AI, Cybersecurity, Achievements, and Excellence categories — recognizing and elevating outstanding innovations and leaders in the global tech industry.
Thought Leadership Areas
Topics where I actively contribute knowledge, opinion, and direction
Trustworthy & Human-Centric AI
Advocating for AI systems that are explainable, auditable, and centered around human oversight — especially in high-stakes domains like retail pricing, fraud detection, and autonomous decision-making.
Real-Time Enterprise Data Architecture
Evangelizing event-driven, streaming-first data architectures that enable sub-second analytics at enterprise scale using Kafka, Dataflow, and cloud-native GCP services.
Agentic AI & Autonomous Systems
Pioneering the adoption of multi-agent AI frameworks in enterprise environments — where collaborating AI agents automate complex engineering workflows that traditionally required significant human effort.