Akash Bambhaniya Dashboards and data-heavy interfaces that stay fast at scale.

Senior Frontend Engineer leveraging AI to solve real business problems — not by building autonomous agents, but by using AI where it actually saves time: scaffolding, debugging, refactoring, and reviewing code before it ships.

Eight years into building web applications that hold up under real users and real deadlines. Currently at Turing, building scalable dashboards, admin panels, and data-heavy interfaces — interactive charts, maps, and real-time visualizations — in React.js, Next.js, and TypeScript. These days, less of the work is writing the first line of code and more the decisions around it — what to build, what AI can safely generate, and what still needs a second pair of eyes.

• Architecture & Technical Decisions Choosing the right approach before code gets written, not after it breaks in production.
• AI Output Review Reading what the model wrote before it ships — security gaps, bad patterns, and edge cases it missed.
• Production Debugging Diagnosing a live failure with incomplete logs and no clear repro steps.
• Requirements Translation Turning a vague ask from product or a client into a spec an engineer — or an AI — can actually build.
• React.js & TypeScript Still where most of it gets built — component architecture that scales with the team, not against it.