Dennis Yang

AI-powered tool that finds the best clippable moments in long videos for content creators.

• Diagnosed flat revenue as a pricing-model problem rather than a demand problem and rebuilt billing end-to-end, from Stripe usage-based metering to flat subscriptions with atomic admission control in Postgres; MRR grew from roughly $300 to $1,025 in seven weeks on the same product and traffic
• Built and ran a full SaaS as sole developer: 8,452 users, 87,521 clips generated, 12,272 hours of video processed, 1.86M downstream YouTube views across 820 published videos; sustained 1,000 to 1,400 organic signups per month for eight months
• Shipped a server-side video pipeline with FFmpeg: portrait reframe, burned-in captions via ElevenLabs Scribe with speaker diarization, text-hook overlays, end-card rendering
• Architected async job orchestration with Trigger.dev v4: per-segment retries with idempotency keys, wait-token callbacks to a Python yt-dlp worker fleet on DigitalOcean, structured error envelope across the pipeline
• Exposed the product as a public REST API (auto-generated OpenAPI via Zod) and a remote MCP server (Supabase OAuth), making the tool callable by other agents
• Stack: Next.js 16, React 19, TypeScript, Tailwind 4, Trigger.dev v4, Supabase, Cloudflare R2, Vercel, DigitalOcean, Gemini API, ElevenLabs, Groq Whisper, Stripe, PostHog, Resend, FFmpeg, Python FastAPI

AI-driven video production pipeline that automates video creation from scripting to final export.

• Engineered intelligent agent logic to search, trim, and compose source video clips (A-Roll) and generate synchronized, time-aligned scripts using Text-to-Speech
• Integrated a dual-source B-Roll system for visual coverage, automatically sourcing licensed stock footage and triggering AI-powered image/video generation

• Built a cross-platform iOS and Android app using AI photo recognition to identify food and score meals on nutritional quality (sugar, sodium, cholesterol) instead of just calories
• Tested with 20 users tracking 200+ meals, iterating on accuracy and UX based on real feedback

• Led client-side software development for a company specializing in advanced game accelerators, rebuilding the graphics interface with HTML and Tailwind CSS
• Collaborated with global teams to refactor server routing, update MySQL database logic, and migrate the application UI to a modern web-based JavaScript stack

• Designed novel methodologies for robot object navigation, raising success rate by 30% over existing benchmarks
• Co-authored a paper accepted to AISTATS on robot navigation frameworks