A career in data.
A practice of building.

My career spans 25 years in enterprise technology, including more than 13 years in services leadership. Today I also build AI products for career preparation, financial learning, and multilingual knowledge access.

From enterprise delivery to my own products.

I’m Tushar Cheke. I lead data and AI platforms, working with the teams responsible for building them and the people who need them to work.

My responsibilities have ranged from platform strategy to delivery, adoption, and commercial performance. That means working through the implementation as well as the business case.

Alongside that experience, I’m developing tools for career preparation, financial learning, and multilingual study. Each has a different audience; all depend on being careful about what the data can support.

Selected results.

From my enterprise delivery and services roles.

Services sales leadership

Led services sales to exceed bookings and revenue targets, demonstrating the ability to translate business goals into commercial results. Brings a scalable approach to package and book outcome focused initiatives, aligning sales priorities with revenue objectives, and driving performance across services offerings.

Governance at delivery scale

Led work across 42 workspaces, including 12 PHI-grade contexts, with zero governance findings reported in the resume record.

Platform strategy and delivery

Experience spans platform strategy, data modernization, commercial services leadership, and hands-on AI product development.

How I work.

Before choosing a model or a platform, I want to understand the decision it will support. Then I work through the data, ownership, and constraints with the people who will use it.

I’m drawn to finding creative solutions that achieve business outcomes. When a decision is stalled, I tend to step in and help the team find a next step. I pay attention to individual perspectives and how the team is responding as the work moves forward.

Alongside my product work, ADVA provides a governed integration path. OG-SR sets out how AI decisions can be controlled, traced, and reviewed. Both make approval and evidence requirements explicit.

Explore ADVA Explore OG-SR

I prefer a small, testable step that helps us decide what to do next.

Tell me what you’re building.

Share where you are, what’s getting in the way, and where I can help.

Let’s talk