London, United Kingdom · Independent research

Better decisions begin with better evidence.

I'm Vaibhav, a researcher and founder interested in how emerging technologies change the way organisations work. My current focus is building practical approaches to information reliability, AI oversight and accountability.

MSc International Business (Merit) · Birkbeck, University of London
Current research directionExploration
Question
Can we trust the information an AI agent acts on?
Test source quality, uncertainty and decision boundaries.
01 / InputExternal
evidence
02 / VerificationCheck &
challenge
03 / SafeguardsEscalation
& audit trail
04 / OutcomeBetter
oversight
A proposed safety research workflow, not a deployed verification product.
MSc · MeritInternational Business · Birkbeck
2026 working paperEmerging technologies · SSRN
MooncommerceFounder · London, since 2024
SupplyCorridorEarly-stage platform and safety research
Selected work

Practical problems.
Thoughtful research.

I work across business research, emerging technologies and early-stage product exploration, with an emphasis on verifying claims rather than assuming they are true.

Featured project · In development

SupplyCorridor

An early-stage concept for more transparent cross-border supplier discovery. The associated AI safety project proposes testing how autonomous agents handle conflicting and misleading supplier evidence.

Explore the project ↗
Research · 2026

Emerging technologies & business transformation

Public working paper examining AI, blockchain and IoT in the context of organisational change. Shared on SSRN; not peer-reviewed.

View paper ↗
Experience · Governance

Scrutiny and accountability

Former Chair of Student Parliament and Scrutiny Panel at Birkbeck, with experience in student representation, deliberation and institutional decision-making.

More about my background ↗
Research approach

Ask better questions. Test the answer.

AI systems can make persuasive recommendations without reliable evidence. I'm particularly interested in how organisations might test their safeguards rather than merely describing them.

01
Start with a real-world problem

Use supplier verification as a concrete example of decisions made from third-party information.

02
Define measurable failure modes

Assess misleading sources, conflicting claims, premature conclusions and failures to escalate uncertainty.

03
Share what the evidence supports

Document limitations, publish findings where appropriate and avoid claiming the research proves more than it does.

About

Research-minded.
Builder at heart.

My interests grew from postgraduate research and working on digital ventures. I'm currently exploring how AI adoption intersects with safety, trust and accountable decisions.

Academic background

Interdisciplinary research

MSc International Business from Birkbeck (Merit), with a dissertation on AI, blockchain and IoT awarded 70/100. The research later informed a publicly accessible SSRN working paper.

Professional background

Products and operations

Founder of Mooncommerce Limited, with experience exploring digital platforms and supplier workflows. Previous work includes technology-enabled marketing and operational processes.

Ideas, research & collaboration

Have a relevant question or collaboration in mind?

I'm interested in thoughtful conversations about AI governance, evaluation, digital platforms and the responsible use of emerging technologies.

Contact me ↗