Suraj Gajula

About

Full-stack engineer who built and owned a generative-AI pipeline end-to-end inside the Vibecut video editor using Next.js App Router/TypeScript, Gemini-based prompt routing, and Zustand state management, including concurrency-safe requests. Also integrated Python services to access newly released AI tooling, optimized Postgres/S3 data flows for thumbnails, and built Modal-to-Amplitude workflows for Reddit-driven sentiment/metrics in a pre-seed environment while also handling marketing.

Experience

Education

Key Strengths

• Shipped end-to-end gen-AI feature pipeline in a production video editor (Vibecut)
• Designed multi-API prompt routing via Gemini system prompts (video/image/text generation)
• Built concurrency-safe request handling to avoid state/data corruption
• Integrated Python services into a primarily TypeScript/Next.js stack to unblock missing TS APIs
• Frontend performance/UX improvements via reusable component architecture and algorithmic rendering of chat content types
• Validated UX improvements with user testing feedback and task completion time metrics
• Optimized Postgres usage by offloading thumbnails to S3 and minimizing DB queries to token validation
• Built durable ingestion/metrics workflows (Modal + Amplitude) with state-machine deduplication and hourly scheduling
• Made architecture tradeoff toward deterministic internal state engine to prevent invalid editor states and reduce glitches
• Operated in a pre-seed startup wearing multiple hats (engineering + marketing) with daily coordination and code reviews