APPROVED
FOR BUILD
Engineering the Δ between an idea and an autonomous product.
I turn AI ideas into shipped products — multi-agent systems, full-stack builds, and the infrastructure behind them. No hand-offs, no decks. Just something live, built by one person who ships fast.
From prompt pipelines to an independent practice.
EFAJ · AI ARCHITECT
I started where most AI builders start right now — deep in the internals of language models, tuning prompts and stitching together the earliest multi-agent frameworks before they had good names.
Two years later, that's grown into a full independent practice — I ship the AI backend and the interactive product around it, for founders who need something live, not just a deck.
Three disciplines, one build.
You work directly with the person doing the engineering — no account manager, no hand-offs between teams.
- Multi-agent orchestration & autonomous workflows (CrewAI, AutoGen, LangChain, LlamaIndex)
- LLM fine-tuning, prompt engineering & evaluation (OpenAI, Anthropic, Llama, Mistral)
- Retrieval-Augmented Generation (RAG) pipelines & embedding strategy
- Vector infrastructure & semantic search (Pinecone, Milvus, VectorDB, gRPC)
- Computer vision & OCR pipelines (OpenCV, YOLO, vision-language models)
- Voice & speech AI — real-time voice agents, Whisper, ElevenLabs
- Backend logic in Python and Node.js / TypeScript
- Custom Telegram bots & AI chatbots for businesses
- Reactive frontends — Next.js, React, Vue, Tailwind CSS
- Lightweight, high-throughput backends — Flask, Go, Node.js
- 3D & motion — Three.js, WebGL, GSAP, Babylon.js, Canvas API
- Mobile-first, production-hardened builds
- Containerization & orchestration — Docker, Kubernetes
- Cloud deployment — Vercel, Render, Koyeb, Railway, AWS
- CI/CD pipelines & Model Context Protocol (MCP) integrations
- CLI automation tooling
Selected work, shipped end to end.
A selection of recent builds — proof I can take your idea from spec to production. More shipped on request.
Racesnap AI
OnlyPetty
Pixelbarta
Serenity Stream
Harry's Portfolio
racesnapai.com · onlypetty.com.au · pixelbarta.vercel.app · Serenity Stream case study · harryjones.netlify.app
Don't just take my word for it.
Efaj took our idea from a whiteboard sketch to a working multi-agent pipeline in under two weeks. He doesn't just write code — he thinks in systems.
The scoring engine he built replaced a spreadsheet workflow our whole team dreaded. It's faster, it's accurate, and it just runs — no hand-holding required.
Most devs hand you a static site. Efaj gave us motion with a reason behind every animation — and shipped it on time, which is rarer than the motion.
Engagement models built for how AI teams actually ship.
The minimum engagement — two weeks of dedicated, elite full-stack AI implementation focused on one clear deliverable.
- Single-scope build or feature
- Daily async progress updates
- Ideal for MVPs, chatbots & bots
End-to-end consulting, vector database orchestration, and deployment of production multi-agent networks.
- Full agentic system design
- Vector infra & deployment pipeline
- Ongoing architecture support
Open to technical co-founder roles or advisory positions for high-potential early-stage AI startups.
- Technical co-founder capacity
- Advisory / fractional CTO
- Selective — early-stage only
Need something smaller? I also build standalone Telegram bots and AI chatbots — no minimum sprint required.