Work

Projects grouped by capability.

A curated view of public, private, client, academic, and experimental work. The homepage stays selective; this page gives the broader system.

Capability groups

FeaturedAI AgentsMCPRAGIDP / Document AIBusiness MVPAnalyticsExperimentsAcademic / Full-stack
Local LLM / Research Automation Public

research-local-xiaomi

Local research workflow for turning web evidence into structured reports with planning, critique, usage tracking, and reproducible outputs.

TypeScript CLI local LLM web search structured reports

Shows research pipeline design around local models and agentic review loops.

RAG / Full-stack AI Academic

neuro_apk

Full-stack AI employee prototype for agribusiness: RAG, local LLM integration, crawler, FastAPI backend, PostgreSQL, Qdrant, and Docker Compose.

Next.js FastAPI PostgreSQL Qdrant LM Studio Docker Compose

Demonstrates end-to-end AI system architecture from frontend to vector search and local inference.

AI Agents / Browser Automation / MCP Public

browser_agent_mvp

Local browser agent that controls visible Chromium through Playwright using ARIA snapshots, structured tool calls, memory, and logging.

Playwright MCP tool calling ARIA snapshots action logging

Demonstrates practical agent loop design for browser automation.

Business MVP / Data App Public

msfo-global-mvp

Business MVP for IFRS/MSFO-style financial workflows: data import, reports, charts, and export-oriented interface.

TypeScript frontend data import reporting charts

Shows ability to turn a domain workflow into a usable internal tool.

MCP / Enterprise RAG Client Work

Redmine MCP + VK Teams RAG

Private client work: MCP tools for Redmine and a role-aware VK Teams RAG bot over Wiki.js and PDF regulations.

Python MCP RAG VK Teams API Wiki.js PDF

12 Redmine tools.

IDP / Document AI Client Work

Formly IDP architecture

IDP architecture for long, unstructured documents: OCR, LLM orchestration, Smart Anchor extraction, async backend, queues, caching, and S3 storage.

Python FastAPI asyncio Azure Document Intelligence PyMuPDF Pydantic

Estimated form-filling time reduced from 40 minutes to about 3 minutes.

Analytics / Local Pipeline Public

mirza_analyzer

Local analysis pipeline for exported chat data: audit, ingest, SQLite storage, staged extraction, and reports.

Python SQLite data pipeline reports

Shows staged extraction and local reporting over exported data.

Analytics / Business MVP Public

swiss-krono-analytics-mvp

Local analytics MVP for cleaning, monitoring, and forecasting sales data.

Python analytics forecasting data cleaning

Shows compact analytics MVP delivery for a domain workflow.