AI · Custom-builtAI

AI trained for your company

Assistants and agents that know your business — RAG, fine-tuning, local or cloud inference.

Initial timeline

2–3 weeks

Format

100% remote

I train and deploy language models that speak your company's language: assistants that answer with your processes, your data and your tone. Full pipeline — data collection and cleaning, hybrid RAG (pgvector + BGE-M3 + RRF), LoRA fine-tuning when it matters, and optimized inference.

You choose where it runs: on your own infrastructure (full privacy, zero per-token cost) or in the cloud. Luna — my voice-enabled AI secretary — is the living proof of this pipeline.

Technologies

Qwen↗LLllama.cpp↗PGpgvector↗MCMCP↗

Creation time

Timelines count from the approved brief and materials in hand.

01Essential2–3 weeks

02Professional4–6 weeks

03Enterprise2–3 months

Examples

Luna — AI secretary→Voice assistant with memory and RAG over my résumé — V1 in production, V2 in the works.Local inference stack→Compiled and optimized llama.cpp, 262k-token context, real benchmarks.

Shall we build it?

Tell me the problem — I answer with scope, timeline and price.

[email protected]WhatsApp

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