The Challenge

Engineering leaders are under pressure to prove ROI on AI tools, compare vendor performance, and demonstrate that their teams are actually shipping faster. Existing tools track activity – commits, PRs, tickets – but none of them translate that into business outcomes.

What I Did

I joined Navigara early and worked across three layers of the product:

Design: Designed the entire product interface from scratch. Dashboards that visualize team performance, AI impact baselines, vendor comparisons, and executive-grade reports. The goal was to make complex engineering data feel clear and actionable – not just another analytics wall.

Development: Built parts of the frontend, translating designs into production code. Worked closely with the engineering team to ensure pixel-level fidelity and smooth interactions across the platform.

Mathematical Model: Co-created the scoring model that powers Navigara’s core value proposition. This is what turns raw commit data into meaningful performance metrics – connecting code activity to business impact through AI-driven analysis.

The Result

Navigara launched with $2.5M in seed funding and is used by companies like Kiwi.com, FTMO, and GTO Wizard. The platform proves what engineering teams have always struggled to quantify: whether their work actually moves the business forward.