Hi! I'm

Vishwa

Senior AI Product Manager & Product Systems Lead

I translate technical possibilities and messy operating problems into trusted AI workflows, clear product decisions, and measurable execution.

Review my profile

How I build

Trusted AI workflows, not isolated demos.

I work between product strategy, technical architecture, user workflows, and operational reality. The outcome is a product system that makes the next decision, control point, and measurable result clearer.

01

AI workflow product strategy

Find the AI use cases worth building, define the user promise, and turn technical constraints into a focused product direction.

02

Trust, evaluation, and human control

Design evidence, approval, failure, quality, and learning loops so AI-assisted execution remains reviewable and reliable.

03

Workflow and platform orchestration

Convert repeated coordination across teams, systems, and channels into reusable product capabilities and measurable operating models.

Experience

Product judgment grounded in systems and delivery.

Product Manager

Kalkine Solutions

Dec 2025 - Present

Own end-to-end product delivery across multi-region fintech products, aligning Engineering, Design, QA, Content, Marketing, and Compliance around stronger releases, platform upgrades, and measurable product outcomes.

Assistant Product Manager

Kalkine Solutions

Nov 2022 - Nov 2025

Led UX, SEO, analytics, and release-quality initiatives that improved retention, scaled North American traffic, and turned post-launch signals into better roadmap and delivery decisions.

Product Manager

Nebula Holdings

May 2017 - Oct 2022

Owned CRM and back-office product roadmaps, partnering with engineering on API architecture, system upgrades, and workflow improvements that increased team autonomy and operational scale.

Senior Software Engineer

Innov8 Coworking

Apr 2016 - Apr 2017

Built an internal event and visitor-management platform that replaced vendor tooling and improved operational efficiency for onsite teams.

Working notes

AI product systems in practice.

Read the journal

Contact

Review the proof and connect.

If you are building AI workflow products, scaling a trust-sensitive platform, or hiring a senior product leader who can translate between product and engineering, I'd be glad to compare notes.

Project brief first

The shortest useful version is enough: product problem, constraint, desired outcome, and where the team is stuck.

Useful context: audience, current metric, product surface, delivery constraint, or launch date.

Add consulting context (optional)

What happens next

I review every brief personally. If it is a fit, you will get a response with specific next actions and an optional call slot within 1-2 business days.

No sales sequences, no forwarding, and no third-party sharing.