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I'm Vedant Gada, a final-year IT student at Dwarkadas J. Sanghvi College of Engineering, passionate about building scalable full-stack applications. I enjoy turning complex problems into elegant, efficient solutions using Next.js, TypeScript, and modern web stacks. I thrive in collaborative environments and love shipping real-world features that impact users.…

Vedant Gada

Full Stack Developer, Web Developer, Front-End Developer, +2

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I'm Vedant Gada, a final-year IT student at Dwarkadas J. Sanghvi College of Engineering, passionate about building scalable full-stack applications. I enjoy turning complex problems into elegant, efficient solutions using Next.js, TypeScript, and modern web stacks. I thrive in collaborative environments and love shipping real-world features that impact users.…

Available to hire

I’m Vedant Gada, a final-year IT student at Dwarkadas J. Sanghvi College of Engineering, passionate about building scalable full-stack applications. I enjoy turning complex problems into elegant, efficient solutions using Next.js, TypeScript, and modern web stacks.

I thrive in collaborative environments and love shipping real-world features that impact users.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Full-stack Developer at Wealth-Wise

April 1, 2026 - Present

Engineered a full-stack financial platform using Next.js 16 and TypeScript, with Prisma and PostgreSQL managing portfolios, wallet balances, and transaction histories. Integrated the Twelve Data API for real-time stock trading with a 20-item cursor-based pagination to respect rate limits, automated 30-day personalized financial summaries via Inngest, and analyzed transactions with Google Gemini AI to generate insights. Implemented robust bot protection with Arcjet rate-limiting and Clerk-authenticated sessions. Built a mobile-first dashboard with Tailwind CSS and Recharts for interactive time-series data.

Full-stack Developer at Landr

March 1, 2026 - Present

Built an AI-assisted mock interview platform using Next.js and TypeScript, integrating Hume AI for voice-based emotion signals and Gemini AI for multi-modal feedback reporting. Implemented streaming AI question generation with context-aware prompting and topic extraction for auto-credentialed interviews, and added automated resume/JD analysis to auto-generate questions.

Full-stack Developer at ScaleSync

March 1, 2026 - Present

Created a multi-tenant project management tool with a normalized Prisma + PostgreSQL schema, Inngest-driven workflows delivering 99.9% reliable time-sensitive reminders, and Clerk-based multi-tenant authentication with webhook-based data consistency.