About
AI/ML engineer, full-stack builder, ex-acoustician.
I’m Mike Fuller. I build production AI systems and consumer AI products, equally at home architecting multi-provider agent pipelines and wiring the Next.js / Supabase stack that ships them.
I came to AI deliberately, mid-career. After a decade as an acoustic consultant (300+ projects UK/NZ and my own acoustic panel and diffusor-manufacturing company in Colombia), I retrained: an MSc in Artificial Intelligence (Distinction) at the University of Bath, with a dissertation on the confidence calibration of foundation language models and an arXiv paper.
Since then: Data Science at Nike across a ~300M-member base, two years of LLM-integrated SaaS, and now co-founding and building brandmodal while building solo products on the side.
I’m a native English speaker, fluent in Spanish, based in Bogotá with full US-Central time-zone overlap.
01/Experience
brandmodal
Jan 2026 – PresentTechnical Co-Founder
An early-stage startup building an AI agent team for small businesses' online presence. Two-person founding team.
Co-founded with Kukesh Kodess.
- —Building the product end-to-end with my cofounder: brand-strategy agents, a Content Studio GenAI pipeline, AI onboarding, and a website builder that produces brand-aligned sites from a single intake.
- —Multi-provider LLM orchestration across Claude, Gemini and OpenAI using the Claude Agent SDK, OpenAI Agents SDK and Vercel AI SDK, with provider failover and structured-output validation.
- —Across the full Next.js App Router + Supabase + FastAPI stack: schema, Postgres RLS, Supabase Auth, Stripe billing, Vercel deployment.
Next.js · TypeScript · Supabase · Postgres · FastAPI · Claude · Gemini · OpenAI · Vercel · Stripe
buildmodal
2026 – PresentPartner & Engineer
A forward-deployed AI consultancy — a wing of Modal — that I run in partnership with Kukesh Kodess. We embed with a team, find the workflow where AI will actually move a number, and ship the agent or tool that runs it on their own stack.
- —Forward-deployed engineering: a KPI-and-constraint diagnostic to pick the highest-ROI workflow, then designing, building and deploying the agent, model or internal tool into the client's existing stack — one production workflow live before scaling.
- —Hand off with a human review loop, training and a runbook; the client owns the code and the IP.
Launchpad — PropLLM (AI Real-Estate SaaS)
Apr 2024 – May 2026Full-Stack AI Engineer
2-engineer product team. Product sunset May 2026.
- —Built and shipped an AI image platform for realtors and homeowners — virtual declutter, staging, renovation and AI video walkthroughs — end-to-end to production, with a realtor in early adoption.
- —Designed async generation pipelines integrating Fal.ai, Gemini and Firecrawl with job queuing, result caching and credit-based Stripe billing.
- —Shipped the Next.js + Supabase + Postgres stack front-to-back: auth, multi-tenant data, file storage, image-diffing UI and Vercel deploys.
Next.js · Supabase · Postgres · Python · Fal.ai · Gemini · Firecrawl · Stripe
Fellowship.ai
2024 – 2025Mentor & Program Lead
Launchpad's applied-AI fellowship. Returned to run and mentor cohorts after completing the fellowship myself in 2021.
- —Mentored cohorts of fellows through real-world ML/LLM projects end-to-end — problem framing, approach and code review, evals, and shipping a working system — translating production experience into hands-on teaching.
- —Ran the program side: guiding teams, unblocking technical decisions and setting the bar for what 'production-ready' means.
Nike (via Launchpad)
Nov 2021 – Mar 2025Data Scientist — Member Modelling & Marketing Analytics
- —Built LTV models, engagement scoring and member segmentation across Nike's ~300M-member base on PySpark and Databricks.
- —Designed an Engagement Quality Score and affinity-overlap metrics adopted by the Member Modelling team.
PySpark · Databricks · SQL · Python · AWS (S3, RDS, Lambda, Batch)
Fellowship.ai
May – Aug 2021Data Science Fellow
- —Built a medical computer-vision system for fetal-gender masking in ultrasound imagery (YOLOv5, OpenCV); published on arXiv.
Ondacoustic / BB & RBA Acoustics
2012 – 2021Principal Acoustic Consultant · Founder
A prior career: 300+ projects across the UK, NZ and Colombia; founded an acoustic-panel manufacturer; built Python tooling for acoustic modelling.
02/Skills
- AI / LLM
- Claude API · OpenAI API · Gemini · Vercel AI SDK · Claude Agent SDK · OpenAI Agents SDK · RAG · async generation pipelines · prompt & eval design
- Machine Learning
- PyTorch · PySpark · Databricks · YOLOv5 · OpenCV · LTV / segmentation modelling · foundation-model calibration (MSc)
- Backend
- Python · FastAPI · Flask · PostgreSQL · Supabase · REST APIs
- Frontend
- TypeScript · Next.js (App Router) · React · Tailwind · shadcn/ui
- Infra & Auth
- Vercel · AWS (S3, RDS, Lambda, Batch) · GCP · Supabase Auth · Stripe
- Certifications & Languages
- Udacity ML Engineer Nanodegree · deeplearning.ai Deep Learning + TensorFlow Developer · English (native) · Spanish (professional)
03/Education
MSc Artificial Intelligence (Distinction)
2020 – 2023University of Bath, UK
Dissertation: On the Confidence Calibration of Foundation Language Models.
MSc Environmental Acoustics (Merit)
2010 – 2011University of Salford, UK
BSc Engineering & Business Studies (2:1)
2006 – 2009University of Warwick, UK