All work

Founder & Founding Engineer, WENES-AI

WENES CRM: AI-Powered CRM for the Uzbekistan Market

Jul 2026 - Present · MVP in testing

  • RAG
  • Evals
  • AI Agents
  • Agent Orchestration
  • Knowledge Graph
  • GCP
  • CRM
WENES CRM: AI-Powered CRM for the Uzbekistan Market

Founding engineer on WENES CRM: I took an open-source CRM core, built on it, and localized it for the Uzbekistan market, integrating AI to semi-automate the workflow from conversations to sales, aiming to help SMEs increase efficiency and revenue. The MVP is now in testing.

Highlights

  • Built a RAG pipeline for multilingual documents (including tables and code-switched text): hybrid retrieval (embeddings, SQL search, reranking) plus online and offline evaluation, improving Recall@1 to 0.82 and MRR@10 to 0.9 from baseline.
  • Implemented a self-learning system that enriches the knowledge base over time via FAQ, knowledge, and performance gap detection.
  • Built a temporal-memory knowledge graph (Graphiti) to track user context over time, plus an agent tool-use loop for reading and writing to local databases and external CRM / ERP systems.
  • Custom agent orchestration in Rails: every turn runs a decision layer (scope, language, clarification, handoff), retrieval, the reply, and a judge that checks the reply against its sources before it is sent, with real human handoff.