I engineer sub-second Next.js web applications, deterministic AI pipelines with 0% calculation hallucinations, and real-time distributed platforms for Seed & Series A startups.
Deterministic Python sandboxes
Distributed Redis SSE stream
Next.js 16 + Redis Edge ISR
In-memory Okapi BM25 index
About
Founding Engineer & Systems Architect specializing in 0-to-1 product architecture, high-concurrency real-time pipelines, and deterministic AI agents for venture-backed startups.
Focus Areas
Designing fault-tolerant backends, strict multi-tenant data isolation via PostgreSQL RLS, and event-driven micro-architectures.
Decoupling semantic LLM extraction from sandboxed arithmetic computation to achieve 0% hallucinations in production workflows.
Sub-second App Router web applications, Edge ISR caching strategies, bundle optimization, and zero layout shift UI.
Sub-300ms push updates using Redis Server-Sent Events (SSE), background BullMQ worker queues, and automated retry mechanisms.
Selected Architectures
Multi-tenant content generation, design & publishing platform for LinkedIn, Instagram, Threads and Telegram — powered by microservice AI agents, RAG fact-grounding, and Kubernetes scale-to-zero.
Enterprise-grade AI agent for automated verification of corporate credit loan agreements — 93.3% exact match accuracy, 1.65ms BM25 retrieval, 86.9% token reduction on 50-page legal contracts.
Production-ready full-stack Learning Management System — multi-role (students, teachers, admins), native Stripe payments, trilingual UI (EN/RU/KZ), MinIO file storage, Redis job queues.
Client Reviews
Writing
A practical breakdown of SSG, SSR, ISR, and PPR — when each rendering mode earns its place, and how to design a caching strategy that scales without surprising you at 3am.
Most CRM data models look clean at v1 and become unmaintainable by v3. Here's the schema design process I use — from domain modeling to PostgreSQL — that scales with business requirements.
The Process
FAQ
