Riken Patel - Senior React Native and AI Engineer. I fix, ship, and scale React Native and AI products that can't afford to break. I fix, ship, and scaleReact Native + AI productsthat can't afford to break.
Production React Native, AI systems, performance audits, and full-stack delivery for startups and enterprise teams. Trusted across Ford, Intuitive Surgical, BCBS, and fintech platforms handling real users, real money, and real risk.
Clients usually hire me for one of these.
The problems that show up in the highest-quality inbound — from founders, heads of engineering, and agencies bringing in senior help on a deadline.
Typical engagements: 4–8 week MVPs ($15K–$40K fixed), performance or architecture audits ($5K–$10K, 1–2 weeks), or senior IC / tech-lead retainers ($7K–$12K per week).
Fixing broken React Native apps
Crashes, ANRs, memory leaks, state bugs, 60fps regressions, CI breaks — triage, root-cause, ship the fix.
Shipping MVPs fast
Zero-to-beta in 4–8 weeks. React Native + Next.js + Supabase or your stack. Weekly demos, fixed scope.
Performance audits for slow apps
Cold start, list scroll, API p95, bundle size, memory. A written report with ordered wins — often months saved vs. a rewrite.
App Store launch rescue
Stuck in review, policy rejections, crashes on submission, missing entitlements. I've walked teams through the worst of it.
Senior technical consulting
Architecture reviews, tech due diligence, hiring bars, roadmap reality-checks. On-call for the hard calls.
Architecture for AI + mobile products
Streaming LLMs, voice pipelines, on-device inference, offline-first sync. Real constraints, real latency budgets.
Production-grade fintech + healthcare delivery
HIPAA, PCI, biometrics, SSL pinning, audit trails. Shipped at Intuitive Surgical, BCBS, First Tech — the compliance bar is muscle memory.
WHAT I BUILD
Full-stack engineer shipping production React Native and AI systems. Streaming LLMs, voice pipelines, mobile apps used by millions — end-to-end work, not prototypes or pilots.
AI & LLM Engineering
Production AI products built end-to-end. Streaming LLMs, voice AI, RAG, agents, and on-device inference — shipped, not just prototyped.
- Streaming LLMs (OpenAI, Claude) with sub-second latency
- Real-time voice AI (Deepgram, Whisper) for live products
- RAG, embeddings & vector search over private data
- Agentic workflows, tool use & function calling
- Prompt engineering, evals & cost optimization
Web Engineering
Full-stack Next.js products with auth, payments, and AI baked in. Built for scale, performance, and Core Web Vitals.
- Next.js 14/15, App Router, TypeScript
- Supabase, PostgreSQL, Row Level Security
- Stripe billing, webhooks & subscriptions
- Lighthouse 90+, Core Web Vitals tuned
Mobile Engineering
10+ years shipping production iOS and Android. React Native, native modules in Swift and Kotlin, used by millions.
- React Native at scale (Spin, da Vinci, mobile banking)
- Native modules in Swift & Kotlin
- Offline-first, real-time sync, deep linking
- CI/CD with Bitrise, Fastlane & GitHub Actions
AI Product Consulting
Architecture reviews, AI feasibility studies, and hands-on prototypes. Help teams ship real AI features, not demos.
- AI architecture & vendor selection
- Streaming, latency & cost reviews
- Voice & real-time pipelines
- Mobile + AI integration patterns
Not sure which bucket fits? 30 minutes on a call is usually all it takes to find out — or see the case studies first.
What's on my screen right now
A snapshot of what I'm shipping, what I'm learning, and the kinds of problems I'm taking on this quarter.
Intervoo — a live interview copilot. Streaming LLM responses in under a second, browser-side voice, zero audio storage. And Jishu Labs, a suite of eight AI-augmented developer tools on one shared Postgres, one auth layer, one component library.
Prompt caching economics, token-by-token streaming UX, and how little orchestration you actually need once you're willing to write the prompt logic yourself. LangChain-era complexity is starting to look like premature abstraction.
Ten years of shipping at Ford, Intuitive Surgical, BCBSM, and First Tech taught me one thing about AI: the constraints that matter aren't model choice or prompt wording — they're latency, cost per session, eval coverage, and what happens when the model is wrong. Most teams debate the first two and skip the rest.
AI product engagements (4–8 weeks, fixed scope), architecture reviews on LLM or voice systems in production, and senior/principal roles where the mandate is to ship, not to explore the space.
From idea to shipped in 4 steps
No vague timelines, no scope creep, no surprise invoices. Just a clear path from the first call to a product your users love.
Discovery Call
We talk about your goal, your users, and what success looks like. No pitch, no pressure — just clarity on whether this is a fit.
Scoped Proposal
You get a written proposal with fixed price, weekly milestones, and exact deliverables. No vague hourly estimates that balloon out of control.
Weekly Demos
A working increment every Friday — new feature, fixed bug, or refactored flow. You approve the direction; nothing reaches production without your sign-off.
Launch + 30-day Support
I ship the product, hand over clean code and docs, and stick around for 30 days to fix anything that turns up in production.
Ready to start? A 30-minute call is usually all it takes to find out.
The questions real clients actually ask
Buying-stage questions from founders, CTOs, and heads of engineering. Straight answers — replies in < 2 hours if yours isn't here.
Yes — probably more often than solo. I slot in as a senior IC or tech lead on your existing React Native / AI / full-stack team, pair with your engineers in code review and planning, and leave the codebase in a state your team can keep shipping without me. I default to your tooling, your coding style, and your PR process, not mine.
Different question? Easiest way is to just ask — or send the details first.
Book 30-Min Strategy Call →Have a real problem?
Let's scope it in 30 minutes.
An AI feature to ship, a mobile app to rebuild, or a second opinion on your architecture. Free 30-min call, no pitch, clear next steps either way.