Rohan S.

⚡ Your AI feature has been "almost shipped" for 3 months. I close that gap. Every month it sits unshipped is a month your competitors launch theirs and your roadmap slides another quarter. I'm a Top Rated full-stack AI integration engineer specialized in shipping production AI features into SaaS products: in-app copilots, AI agents, RAG over your own data, and AI workflows that survive real traffic. Not demos. Not Jupyter notebooks. Features that hold up at scale. Over 4+ years I've been the technical partner for 10+ funded SaaS and AI ventures, and the AI surface I've shipped is running today in front of millions of users. ━━━━━━━━━━━━━━━━━━━━━━ 🦄 WHAT I'VE SHIPPED, WITH REAL NUMBERS ✦ Pollo.ai → 3.4M+ monthly users, zero production outages GPT orchestration, multi-model routing, cut per-request cost ~30% ✦ SnapReel AI → 10k+ AI video generations/day Queue + retry architecture that holds under burst load ✦ Crayo.ai → 100k+ monthly visitors AI tools + A/B testing infrastructure, same-day variant launches ━━━━━━━━━━━━━━━━━━━━━━ 🛠️ WHAT I INTEGRATE, END TO END ● AI-native SaaS features: in-app copilots, AI chat over your data (RAG), agentic flows with tool use ● Multi-step agent pipelines with memory, structured outputs, fallback logic ● Model selection by use case: GPT-4 class for reasoning, Claude for long context, smaller open-source for cost ● Evaluation + observability: LangSmith, Helicone, prompt-injection guards, latency budgets, per-request cost tracking ● Automation layer: n8n + custom Python wiring AI into CRMs, Stripe, Postgres, internal tools ● Production-grade architecture: multi-tenant SaaS, rate limiting, queues, retries, structured outputs ● Frontend that doesn't feel like a demo: Next.js, React, TypeScript, Tailwind ━━━━━━━━━━━━━━━━━━━━━━ 🔧 STACK Next.js · React · Node.js · Python (FastAPI) · PostgreSQL · Supabase · MongoDB · OpenAI · Anthropic Claude · LangChain · LangGraph · pgvector · n8n · Docker · AWS · Render · Railway ━━━━━━━━━━━━━━━━━━━━━━ 🚀 HOW WE'D WORK 1️⃣ 30-min scoping call. I tell you what's hard, what's easy, and what's overkill before you spend a dollar. 2️⃣ Milestone 1 (1 to 2 weeks). A working slice in your own staging environment, with a written architecture writeup. Not a slide deck. 3️⃣ Iterate weekly. Loom walkthrough plus working build, fixed scope per sprint. ━━━━━━━━━━━━━━━━━━━━━━ 💬 YOU TALK TO THE ENGINEER, NOT A PROJECT MANAGER No sales layer. No junior handoffs after the pitch. The person who scopes the work is the person who ships it. Available CT business hours. ━━━━━━━━━━━━━━━━━━━━━━ 🎯 I WORK BEST WITH ✅ Seed to Series B SaaS founders ✅ Product-led teams shipping AI features ✅ Operators who need a senior engineer who can also reason about the model: prompt design, eval, cost, latency, failure modes 🚫 Not the right fit for: ✗ $10/hr task work ✗ Projects with no production plan ✗ Work where "AI" means "a ChatGPT API call hidden behind a button" ━━━━━━━━━━━━━━━━━━━━━━ 📩 First scoping call: 30 minutes, this week. You'll leave with a written technical opinion either way, whether or not we work together. Press 'Send Message' and tell me where you're stuck. ━━━━━━━━━━━━━━━━━━━━━━ Specialties: AI integration, AI SaaS development, AI agent development, LangChain, LangGraph, RAG, retrieval-augmented generation, OpenAI API, Anthropic Claude API, Next.js development, AI chatbot, AI copilot, vector database, pgvector, Pinecone, n8n automation, AI workflow, full-stack AI engineer, LLM application development, GPT-4, Claude Sonnet, AI MVP, production AI, multi-tenant SaaS, AI for startups, structured outputs, prompt engineering, LangSmith, Helicone, AI observability.