[03] about.me
Meet David.
Software engineer / technical cofounder
I build AI products, from the first customer call to the App Store.
I'm a software engineer and technical cofounder who ships production systems end to end. At Synvora I built the whole product solo: a 39+ screen React Native iOS app, a Next.js site, and a multi-stage Claude backend on Supabase Edge Functions, from empty repo to the App Store in under four months.
I'm also building Pickup, a multi-tenant AI receptionist for law firms and local businesses, validated through 30+ customer discovery calls. I'm finishing Computer Science at the University of Regina (December 2026) and I'm open to SWE and AI engineering roles.
- 39+
- screens in the Synvora iOS app, shipped solo
- <4 mo
- from empty repo to App Store launch
- 30+
- customer discovery calls for Pickup
- 7
- IBM certificates, incl. Machine Learning Professional
> experience.log
July 2026 - present
Cofounder & Technical Lead at Synvora
- Built and shipped the full product solo: React Native (Expo, TypeScript) iOS app of 39+ screens, Next.js marketing site and a Supabase backend, from empty repo to App Store launch in under four months.
- Designed a multi-stage LLM backend on Supabase Edge Functions: three-angle vision scan, cached verdict layer, routine assembler, safety gate and a conversational coach with memory.
- Cut inference cost by routing by task (Claude Sonnet for vision and product verdicts, Haiku for chat) and caching verdicts against a curated product database.
- Constrained model output to visible-trait observations rather than diagnosis, a product-safety requirement that shaped the prompt contract and App Store rating.
- Built a database of 108 curated Canada-available products with ingredient metadata, cleaned from Open Beauty Facts and enriched via the Claude API.
August - present
Founder at Pickup (AI voice intake agent)
- Ran 30+ customer discovery calls across Regina, Saskatoon, Winnipeg, Calgary and Edmonton; validated that paid-search leads die at phone intake, confirmed independently by two law firms.
- Built a working voice agent demo that qualifies callers and books consultations into the firm's calendar, deployed on Vercel with Google Cloud telephony.
- Architected the missed-call recovery MVP on Twilio, the Claude API, Supabase and a Next.js dashboard; moved to a multi-tenant self-serve platform after benchmarking Vapi and Retell AI.
2023 - present
Web Development Intern at RCCG Mount Zion Parish
- Built and maintain the parish website, owning the content workflow end to end.
- Building an automated LED-screen display system for lyrics, scripture and service countdowns.
2022 - 2023
Teaching Assistant, Microsoft Office & Graphics at IGT Tutors, Lagos
- Taught Office and Photoshop to 50+ students and gave one-on-one technical mentorship.
> stack.sys
sector_01 / Languages
- Python
- TypeScript
- JavaScript
- C++
- SQL
- HTML / CSS
sector_02 / AI / LLM
- Claude API
- Gemini
- Prompt engineering
- Structured outputs
- Tool calling
- Agent orchestration
- Vision-language models
- RAG
- Evaluation sets
- MCP
sector_03 / Backend & Data
- Supabase (Postgres, Edge Functions, Auth)
- FastAPI
- Twilio
- REST APIs
- PostHog
sector_04 / Frontend & Mobile
- Next.js
- React Native (Expo, Expo Router)
- Tailwind
- NativeWind
- Framer Motion
sector_05 / ML
- PyTorch / TensorFlow fundamentals
- scikit-learn
- pandas
- NumPy
- YOLOv8
- Tableau
- Power BI
sector_06 / Tooling
- Git / GitHub
- Claude Code
- Vercel
- Google Cloud
- RevenueCat
- TestFlight
> education.txt
Computer Science, University of Regina (2023 - December 2026). Coursework: Data Structures, Algorithms, Software Engineering, Machine Learning, Embedded Systems.
IBM Machine Learning Professional Certificate (supervised, unsupervised, deep and reinforcement learning), IBM Python for Data Science, IBM SQL: 7 certificates total. In progress: IBM RAG and Agentic AI Professional Certificate.
Next step
Have an idea worth shipping?
I'm open to SWE and AI engineering roles, and always up for talking about a hard product problem.