Computational architect · AI systems · Full-stack platforms
I architect and ship End to end AI-native products and data-heavy systems—from ingestion and knowledge structure to APIs, UIs, and production operations—so organizations can turn noisy information into reliable software.
Typical focus areas
- LLM / agentic workflows, evaluation, and production guardrails
- RAG, document intelligence, and retrieval/knowledge layers
- Data platforms, pipelines, and developer-facing APIs
- Full-stack delivery (Next.js/React, Node backends, cloud deploys)
- Spatial / computational tooling and Web3-facing infrastructure where it matters
What I deliver
Systems that are specified, observable, and ownable: clear boundaries between model behavior, data contracts, and application code; sensible tradeoffs on latency, cost, and correctness; and scaffolding that a team can grow into—not one-off demos.
Stack
Languages: TypeScript, JavaScript, Python, C++
Frontend: Next.js, React, Vue, Tailwind CSS, motion/UI polish
Backend: Node.js, Express, NestJS, REST, GraphQL
Data & infra: PostgreSQL, Supabase, Firebase, Vercel, GCP
AI: OpenAI, LangChain, Hugging Face, Vercel AI SDK, Replicate, Docling, GenAI SDK
Spatial: Three.js, WebGL, Blender, Unity, Unreal Engine, Cesium.js
Current interests
AI-native product architecture, RAG and structured reasoning over large corpora, knowledge graphs, developer infrastructure for ML systems, and high-signal on-chain / Web3 data systems.
Collaboration
Open to technical leadership, hands-on architecture, and early-stage builds in AI infrastructure, developer tooling, data-heavy SaaS, and serious Web3/DeFi systems—especially where the problem is messy data and the bar is production, not slides.
Contact
Email: ayush@0xmilord.xyz
Telegram: @ayushbuilt
X: @0xmilords