Judging & Mentoring

I contribute to the technology community by reviewing scholarly work, judging innovation programs, mentoring builders, and evaluating technical solutions across enterprise AI, data management, governance, distributed systems, and cybersecurity-adjacent domains.

My goal across all evaluations is consistent: identify practical innovation, assess technical depth, and help promising ideas become real-world systems.

Scholarly Peer Review

  • Reviewer activity for IEEE CAI 2026 through PaperCept, including multiple manuscript peer review assignments.
  • Reviewer invitation and assigned-paper activity for IJCACI 2026.
  • Review focus areas include artificial intelligence, enterprise data management, governance, distributed systems, and applied software architecture.
  • Scholarly evaluation emphasizes practical system viability and technical depth.

Hackathon Judging & Mentoring

  • Judge and mentor across NJx Hackathon / InnovatorsX hackathon programs.
  • NJx Hackathon 2026, Spring edition — April 11–12, 2026, Skillman, New Jersey.
  • NJx Hackathon / InnovatorsX Startup Sprint, Summer edition — June 20–21, 2026.
  • Recurring hackathon judging evaluating startup ideas, technical execution, AI/data architecture, product thinking, practical feasibility, and innovation potential.
  • Emphasis on real-world problem relevance, grounded execution, and whether teams can think like builders rather than only presenters.

Business & Technical Competition Judging

  • 2024 Sales Kickoff Competition, San Diego, California (Cloud Software Group / TIBCO business unit) — semifinal Group A panel judge, evaluated 4 teams.
  • 2022 TIBCO Sales Kickoff, Scottsdale, Arizona — quarterfinal panel judge, evaluated 4 teams.
  • Internal business and technical competition judging focused on enterprise innovation, solution strategy, and go-to-market evaluation.

Mentoring & Community Contribution

  • Mentoring founders, builders, technologists, and data practitioners.
  • Focusing on enterprise AI, master data management (MDM), governance, product strategy, and real-world implementation challenges.
  • Guiding technologists on navigating complex enterprise constraints and architecting scalable, governed data products.

Evaluation Philosophy

I evaluate technical work through a practical lens: originality, architecture, execution feasibility, business relevance, governance, and long-term scalability. Strong ideas should not only sound innovative — they should survive contact with real enterprise constraints.