You will get an excellent, clean, and live 'Minimum Viable Product' launch.


Project details
I have developed and designed dozens of advanced software applications of all sizes and at all periods of their lifecycle (greenfield MVP, surgical evolution and debugging, etc.). I have over a decade of experience with rich applications in advanced industries such as neurotechnology, artificial intelligence, and cryptocurrency. My experience building with the very best at Apple and high-velocity startups aligns with projects looking to ship decisive MVPs that demonstrate their unique value to their customers.
Programming Languages
HTML & CSS, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, PSD to HTML, SecurityWhat's included $15,000
These options are included with the project scope.
$15,000
- Delivery Time 45 days
- Number of Revisions 4
- Number of Pages 6
- Design Customization
- Responsive Design
- Source Code
Optional add-ons
You can add these on the next page.
Fast 30 Days Delivery
+$5,000About Garrett
Expert AI Engineer
New York City, United States - 7:56 am local time
What I build
• LLM chatbots & copilots for support, sales, and internal operations
• RAG / semantic search over your docs, tickets, PDFs, and databases (with citations + tuning)
• Agent workflows + tool calling (APIs, CRMs, admin dashboards, automations)
• Evaluation + guardrails: quality gates, regression tests, prompt/versioning, monitoring
• Real‑time apps & dashboards (websocket/streaming UX) for high‑signal decision making
Why me
• Apple: built internal tools and automation for App Review/Editorial—incl. autonomous app review on real device farms with structured signals that plugged into review workflows.
• Kernel: lead engineer on the primary real‑time R&D platform used daily to develop neurotech hardware; helped ship a clinical app to the App Store.
• AirCam: founding dev for a real‑time, media‑heavy mobile web experience built for “event day” constraints.
• Engi (open source): ongoing work in agentic engineering workflows, verification/eval, and measurable software output.
How I work
1) Clarify “done” and constraints (users, data, latency, risk)
2) Build the smallest correct version end‑to‑end
3) Add evals/observability so quality improves over time
4) Ship, iterate, and harden for production
Typical deliverables
• Working feature in your repo + deployment
• Clean UI/UX, API integration, and data plumbing
• Documentation, handoff notes, and a pragmatic roadmap
Core stack
Python, TypeScript/React, Node, Postgres/SQL, AWS/Vercel/Supabase, Pinecone + modern LLM APIs (OpenAI/Anthropic/Llama).
Based in NYC/Miami (US time zones). Available for short sprints or ongoing builds.
Message me with (a) what you’re building, (b) where the data lives, and (c) what success looks like—I’ll reply with a concrete plan, tradeoffs, and next steps.
Steps for completing your project
After purchasing the project, send requirements so Garrett can start the project.
Delivery time starts when Garrett receives requirements from you.
Garrett works on your project following the steps below.
Revisions may occur after the delivery date.
Collaborative Scoping
Iterative Development



