AI features shipped
to production in 2 weeks.
Not 2 quarters.
Senior full-stack engineer (8+ years). I help UK SaaS and legal-tech teams turn "we should add AI" from a Notion doc into a live feature customers actually use.
Built Proconvey · Shipped for ThePRSB, TNBC Support, Anthony MacQuillan · 8+ years · UK-friendly hours
Most teams I talk to have the same problem. Leadership has decided AI is a priority. Engineering is heads-down on the existing roadmap. The "AI feature" sits in Notion for months. Meanwhile competitors ship.
You don't need to hire a full-time ML engineer. You need someone senior who has shipped production LLM features before, can drop into your stack (Next.js, Node, Python, Postgres), and get one real feature live — then either keep building or hand off to your team.
That's what I do.
Three ways to work together
AI Integration Audit
Async-only deliverable. I review your codebase, your roadmap, and one or two AI feature ideas. You get a written plan: architecture, model choice, cost-per-request math, rollout sequence, and a prioritized list of what to ship first. No commitment to work together afterwards.
Teams who know they want AI but aren't sure where to start.
AI Feature Sprint
Fixed scope, fixed price. We pick one feature in the first call. Staging in week 1, production in week 2. You own the code. Includes prompt engineering, evals, cost monitoring, and a handoff doc.
Teams with a specific feature in mind who want it live, fast.
AI-Ready Migration
For teams with a real product and no AI layer yet. I add the foundation: LLM abstraction layer, prompt versioning, eval harness, cost tracking, and one to three production features. Your team builds on top of it after.
Established SaaS adding AI as a strategic pillar.
SELECTED_WORK
I've shipped for UK healthcare orgs, UK legal-tech (Proconvey), luxury e-commerce, and B2B SaaS. The work spans WordPress, custom Next.js apps, Shopify, and React. The common thread: production code that holds up under real users.
What clients say
Robin is my hero. I was struggling with the ex web developer who tries to charge me unreasonable amount of money. Fortunately, I connected with Robin and he helped me in every possible way. I am very impressed. Due to the lack of knowledge of IT, Robin must have been tired to explain every single detail that I had no ideas of. But now I do understand some of them! And I guarantee that no one would regret working with him. It’s privilege! I was so lucky!!! Thank you Robin for your expertise and professionalism. I will work with him again 100%. Thank you so much. From London.
Excellent is the only word I can find to describe his skill set... He did everything I wanted at a very fast speed and went beyond my expectations!!! I was so impress I decided to double the rate I initially had for the project. That is how satisfied I am with his service. Thank you Robin for accepting to work with me and make my day!
How I work
Async by default.
No daily standups. You get a written update at the end of each working day — what shipped, what's blocking, what's next. If we need to talk, we hop on a 30-min call.
Fixed scope, fixed price.
I don't sell hours. Every engagement has a defined deliverable. If it takes longer than estimated, that's on me.
Code is yours from day one.
I push to your repo from commit one. There's no "handoff phase" — you're handed off the entire time.
UK-friendly hours.
Mumbai-based, but I overlap with UK working hours through midday IST. Most clients get same-day response on Slack.
Building
digital experiences
that matter
I'm Robin. 8+ years building SaaS products and websites for startups and established companies. I've shipped for UK healthcare orgs, a UK legal-tech SaaS (Proconvey), a luxury e-commerce brand, and dozens of smaller projects in between.
The last 18 months I've focused on AI integration — Claude, GPT, custom evals, and the unglamorous parts (cost monitoring, prompt versioning, fallback strategies) that decide whether an AI feature actually survives in production.
I work solo. No agency, no junior devs, no offshore team you didn't agree to. The person you talk to is the person writing the code.
Philosophy
<Production-grade AI />
AI features that survive production. Cost monitoring, prompt versioning, eval harnesses, fallback strategies — the unglamorous parts that decide whether an LLM feature actually ships.
- Production-ready, not demo-ware
- Real evals, not vibes
- Cost-aware by default
- Fallbacks for the bad path
Expertise
<AI integration depth />
18 months focused on shipping AI features. Claude, GPT, custom evals, and the engineering scaffolding around them. Plus 8+ years of full-stack production work — Next.js, Node, Python, Postgres, AWS.
- Claude API, OpenAI API
- Prompt + chain design, eval harnesses
- Next.js, Node.js, Python
- AWS, Vercel, Postgres
Approach
<Async-first delivery />
Written daily updates. Fixed scope, fixed price. Code in your repo from day one. UK-friendly hours from Mumbai. The person you talk to is the person writing the code.
- Async by default — no standups
- Fixed scope, fixed price
- Code in your repo from commit one
- UK-friendly hours, same-day Slack
Ready to ship something?






