Browse categories
Explore
Fiverr Pro
English
$
USD
I will be your ai consultant and agentic systems architect
JuliaS
About this gig
Tired of fragile no-code tools and bloated AI wrappers that break in production?
I build 100% custom-coded AI systems, autonomous agents, and stateful memory architectures engineered for speed, reliability, and measurable business ROI. No fragile templates or black-box frameworksjust clean, scalable code built directly for your stack.
WHAT I SPECIALIZE IN:
- Bespoke Agentic Architecture: Custom stateful agents and multi-agent coordination built from scratch in Python, TypeScript, and Node.js.
- AI Long-Term Memory & Storage: Stateful episodic memory, semantic search, Vector DBs (Pinecone, Qdrant, Weaviate, Chroma), pgvector (PostgreSQL), Supabase, and GraphRAG (Neo4j).
- Production RAG & AI Copilots: High-accuracy assistants deeply integrated into your own databases, internal APIs, and proprietary knowledge.
- Direct Model Integration: Optimized, low-latency API implementations for OpenAI, Anthropic Claude, Google Gemini, and local/open-source LLMs.
- Core Tech Stack: Python, TypeScript, JavaScript, Node.js, REST APIs, and modern databases.
WHY CHOOSE THIS GIG?
- Zero Bloat: Maintainable, production-ready code you fully control.
- Enterprise Reliability: Engineered for high throughput and robust
Get to know JuliaS
JuliaS
Full Stack Web and AI Chatbot Developer
- FromUnited States
- Member sinceDec 2025
- Avg. response time1 hour
Languages
English
I'm Jewells, a full-stack web developer specializing in custom websites and AI integration. I don't do templates—I build tools designed around YOUR workflow. Stop paying for 10 apps when you need one.
FAQ
Why do you write custom code instead of using tools like LangChain, CrewAI, or n8n?
No-code tools and wrapper libraries are brittle, slow, and hard to debug in production. I build clean, custom architectures in Python, TypeScript, and Node.js. You get faster performance, total control, and production-ready code you 100% own.
How do you handle AI memory and data storage?
I architect stateful, long-term memory using Vector DBs (Pinecone, Qdrant, Chroma, Weaviate), pgvector (PostgreSQL), Supabase, or GraphRAG (Neo4j). This ensures agents maintain accurate context without hallucinating or wasting tokens.
Can you work with open-source or locally hosted LLMs?
Yes. In addition to commercial APIs (OpenAI, Anthropic, Google), I integrate local and open-source models via Ollama or vLLM to ensure complete privacy and zero data leakage.
