Vova ZakharovVova Zakharov

Fractional, hands-on CTO for AI-native delivery

vzakharov@gmail.com · vovazakharov.com

Profile

158 days, 250,000 lines of TypeScript with tests included and none of it hand-written, up to 20 agents at once and a deploy every 2.4 days — on a live product that never left production. I lead AI-native delivery hands-on: the agents, the pipeline they ship through, and the handover to the engineers who carry the platform on.

What I Offer

  • Idea → production
  • Architecture and foundations
  • Your team on agent rails
  • Rescue and diagnosis
  • Standing technical judgment

Experience

Fractional CTO

Playgram (March – August 2026)

Read the case studyRead the case study: vovazakharov.com/case-studies/playgram

Rebuilt a live, feature-rich AI chat product — multiple model providers, realtime team chats, image and file libraries, memory and knowledge management, voice input — from Bubble, a no-code builder, into a production Next.js 16 codebase, while it stayed in production for its users throughout.

Delivered in 158 days — parallel AI sessions, up to 20 agents working at once:

  • 1,395 commits on main and 250,000 lines of TypeScript, tests included, none of it hand-written.
  • 48 releases and 18 hotfixes: a production deploy every 2.4 days.
  • 4.5–5× the changes a week per developer than the app shipped on Bubble before the rebuild.
  • Sub-second cold loads, down from multi-second.
  • Feature-sliced architecture held by linters, so a crowd of agents working at once could not drift the structure.
  • A repeatable agent pipeline: plan, implement, review, finalize — each stage its own session, with a reviewable artifact between them.

Next.js 16, Supabase + Drizzle, Weaviate, LiteLLM, Railway, feature-sliced design

Senior Fullstack Developer

October 2025 – February 2026

AI-powered English learning application for kids, combining generative AI with time-tested pedagogical methodology to make language acquisition engaging and effective.

  • Interactive game-based learning experiences powered by LLM-generated content.
  • Adaptive difficulty and personalized learning paths based on individual progress.
  • Integration of proven teaching methods with modern AI capabilities.

Next.js, OpenAI API, custom game engine

Senior Fullstack Developer

Orcool (June – August 2025)

Short-term project shaping an AI-agent–based review intelligence tool for brand marketing.

Built the system end-to-end, covering:

  • Automated review collection from diverse public sources.
  • AI-driven summarization with structured outputs (SWOT, competitive positioning, feature insights).
  • Early productization steps toward a scalable SaaS-style platform.

Next.js/NestJS, Cloudflare Workers, Firebase, custom LLM orchestration framework

Fullstack Developer

randddb.com / DDB (2023 – 2025)

Experimental AI platform at one of the world's largest ad firms. Built, back to front, a suite of interlinked AI tools:

  • Chatbot: ChatGPT-style assistant for corporate needs — secure, document-aware, image-savvy, with personas and real-time multi-user support.
  • Robowriter: Build-your-own-agent tool for content generation. Functions as both user-facing product and meta-backend for LLM ops.
  • Picmaker: Replicate-powered image generation/training tool with UX optimized for rapid iteration and intuitive pinning.
  • Client-specific apps: Including YesYouCannes, which builds Cannes award decks from idea to imagery in minutes.
  • Spaces: White-label mini-platforms for agency clients (e.g. randddb.com/s/ikea).

Django + DRF, PostgreSQL + pgvector, Redis, Vue + TypeScript

Demo available on request.

Developer – Independent Projects

2020 – Present

Selected highlights:

  • mitko: Telegram bot where an LLM matches IT candidates with employers: aiogram, pgvector, PydanticAI.
  • Jukebox Web UI: Gradio-based UI running inside Google Colab for OpenAI's music model.
  • almostmagic: TypeScript package for instant LLM integration – one line, zero ceremony.
  • JobGenie: AI assistant for job seekers that helps create roles as much as apply for them.

Prototyper – Experience & Innovation

Voicemod (2023)

Prototyped bleeding-edge tools for audio + AI experimentation.

  • Built a YAML-powered Discord bot framework for zero-code bot creation.
  • Developed a local Python web API with a ChatGPT-style interface.

Tech Stack

Languages

TypeScript, Python, SQL

Frontend

Next.js (App Router), React, Mantine, TanStack Query, Zustand, Tiptap; Vue / Nuxt

Backend & data

Next.js server actions / BFF, NestJS, Django, FastAPI, aiogram; Postgres + pgvector, Drizzle, SQLAlchemy, Weaviate, Redis, Django Q2

AI

Vercel AI SDK, PydanticAI, OpenAI / Azure OpenAI / Anthropic / Gemini APIs, LiteLLM, Deepgram, Replicate; Gradio, Google Colab

Infrastructure

Railway, Docker, Cloudflare Workers, GitHub Actions, GitHub Pages, Bunny CDN, Stripe, PostHog

Quality

Vitest, Playwright, MSW, ESLint, Steiger (FSD), knip, Prettier, Stylelint

Agentic engineering

Claude Code, muthur

Education

Moscow Institute of Physics and Technology

Master's in Applied Math & Physics (2000 – 2006)