Description

Senior Full-Stack & AI Engineer shipping production B2B SaaS for funded startups. Next.js + Supabase + Python (FastAPI/Django) + Stripe + LLMs. 10+ products shipped. Idea → revenue in 30 days.

━━━ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ━━━

I help SaaS founders and operators go from "we have an idea and a Figma" to "we have paying users" - without the usual contractor handoff problem where the frontend dev can't wire Stripe, the backend dev doesn't know LLMs, and nobody owns deployment. I do the whole thing.

Most of my work falls into four buckets:

◾ AI-powered B2B SaaS MVPs (Next.js + Supabase + OpenAI/Anthropic)

◾ Multi-tenant SaaS platforms (org/team/user hierarchies, RLS isolation, tenant-aware billing)

◾ CRM and workflow automation systems (Python + Stripe + Twilio)

◾ Fintech billing and subscription infrastructure (Stripe Connect, Tax, metered usage)

━━━ 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 ━━━

◾ Frontend: Next.js (App Router), React, TypeScript, Tailwind CSS, shadcn/ui, React Hook Form, TanStack Query

◾ Backend: Python (FastAPI, Django), Node.js (Express, NestJS), REST and GraphQL APIs with proper idempotency and cursor pagination

◾ Data & Auth: Supabase (RLS policies tested against multi-role matrices), PostgreSQL, Redis, pgvector

◾ Multi-Tenant Patterns: org/team/user hierarchies, RLS-enforced isolation, tenant-aware audit logging, per-tenant entitlements

◾ AI/ML: OpenAI API (vision, structured outputs, function calling), Anthropic Claude API, LangChain, RAG pipelines, vector DBs (pgvector, Pinecone, Qdrant), prompt evaluation harnesses, token-cost monitoring

◾ Payments & Comms: Stripe (Connect, Tax, subscriptions, metered usage, webhooks with signature verification and idempotent processing), Twilio (SMS, voice, WhatsApp), SendGrid

◾ Infra: Vercel, AWS (S3, Lambda, RDS, CloudFront), Cloudflare, Docker, GitHub Actions CI/CD, signed-URL auth

If my background and experience look like a fit for what you're building, feel free to send me an invite or a message

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Halden & Co. Engineering
Lead AI & Full-Stack Engineer | Next.js, Supabase, FastAPI, LLMs
DIGITAL AND IT
September 2024 - February 2026 (1 year and 5 months)
New York, United States
Lead engineer at a small product shop focused on AI-native B2B SaaS MVPs for funded founders. Owned end-to-end delivery for 4+ products across SaaS, CRM, and fintech - architecture through launch.

• Shipped AI SaaS MVPs on a 4–8 week cycle: Next.js + Supabase + Python (FastAPI) + OpenAI/Anthropic + Stripe. Idea to first paying customer is the standard deliverable.
• Built a multi-tenant Stripe billing system (subscriptions, Tax, metered usage) reused across 200+ end-customer accounts; migrated one fintech client onto it with zero downtime.
• Designed CRM automation pipelines combining Python, Twilio, and webhook orchestration - replaced ~30 hrs/week of manual ops work for one client.
• Owned production AI infrastructure: RAG pipelines, vector DB selection (pgvector vs. Pinecone), prompt evaluation harnesses, cost monitoring.
• Set engineering standards: TypeScript everywhere, tested critical paths, async daily updates to founders, weekly demos.
artificial intelligence Next.js Supabase Python Typescript
Vellum Stack
Senior Full-Stack & AI Engineer | Next.js, Python, OpenAI, RAG
CONSULTING AND AUDITS
March 2023 - August 2024 (1 year and 5 months)
Washington D.C., United States
Senior engineer at a boutique consultancy that pivoted hard into AI-powered SaaS in early 2023. Led the AI/LLM integration practice - took clients from "we want to add AI" to production deployment.

• Built 6+ production LLM features across client products: RAG pipelines over internal docs, AI chat interfaces, document extraction, AI-assisted CRM workflows.
• Architected a RAG-based internal assistant for a B2B SaaS support team - pgvector + LangChain + OpenAI. Cut average ticket response time by ~60% in the first quarter post-launch.
• Designed token-cost monitoring and streaming response systems for multiple AI SaaS clients; introduced budget guardrails that prevented runaway API spend.
• Continued shipping full-stack SaaS work (Next.js + Django + Stripe) in parallel - AI was the differentiator, not the only deliverable.
Next.js artificial intelligence OpenAI Python Stripe
Cobalt Forge Labs
Senior Full-Stack Engineer | Next.js, Django, Python, PostgreSQL
BANKING AND INSURANCE
September 2021 - February 2023 (1 year and 5 months)
West New York, United States
Senior engineer at a Y Combinator-adjacent product studio shipping B2B SaaS MVPs for funded founders. Owned full vertical slices - architecture, API design, frontend, deployment.

• Shipped 5 SaaS products from blank repo to first paying customers, averaging 7–10 weeks per build. Next.js + Django + PostgreSQL was the default stack.
• Built a Stripe-heavy fintech billing layer (subscriptions, metered usage, Stripe Connect for marketplace payouts) reused across three client products.
• Designed and shipped a Django REST API + Celery background-job system handling 100K+ async tasks per day for a logistics SaaS.
• Owned production incidents on-call: cut median p95 API latency from 900ms to under 200ms via query optimization and Redis caching.
• Worked directly with founders to scope features against runway - shipped what mattered, deferred what didn't.

Stack: Next.js, React, TypeScript, Django, Python, FastAPI, PostgreSQL, Redis, Stripe, AWS, Vercel.
Next.js Django PostgreSQL Amazon Web Services Redis