Aleksei Naumov

Full-stack engineer and entrepreneur building end-to-end AI-powered products.

London, UK

Working on now

Unreal Labs

Building AI agents for performance marketing.

website · x

Backed by Sequoia Capital First Round Capital

original → actor swap

original → clothes → actor

Maya 11:32

@Anrie send me new creative types my competitors are running this week

Anrie [app] 11:32

👀 Found 3 new creative types across 5 competitors.

🎬 UGC demos with objection handling — 3 brands.
🗣️ Talking heads with founder POV — 2 brands.
📸 Before/afters showing workflow pain — 1 brand.
Best angle: founder-led narrative with pain → solution arc.
🧪 I turned the top examples into 3 testable angles for your next pack.

Nina 14:08

@Anrie check all Meta ad sets against our $45 CPA target and recommend actions.

Anrie [app] 14:08

✅ Performance scan complete.

Pause: 🔻 Broad Demo Static — CPA $71, CTR down 38%.
Pause: 🔻 Interest Workflow Pain — CPA $64, frequency 4.8.
Scale: 📈 UGC Problem/Solution — CPA $32, 41 purchases.
Scale: 📈 Founder Hook Variant 03 — CPA $36, strongest hold rate.
💸 Recommended move: pause 2 ad sets and shift 20% of budget to the winners.

Previously

Terra Quantum — Lead AI Engineer

At Terra Quantum, I led a research team working on efficient LLM inference.

Back in 2023 we published at IEEE MIPR and in a Q1 journal, and open-sourced our compression algorithm and compressed GPT-2 weights.

After that, I led the team that built an AI voice agent, in 2024, before agents went mainstream.

Papers: TQCompressor (IEEE MIPR), TetraOpt (MDPI, Q1)
Weights: huggingface.co/tq-ag/TQCompressedGPT2
Code: github.com/terra-quantum-public/TQCompressedGPT2

Literally Me

AI meme face-swap Telegram bot with 150K+ MAU and 1.5M+ users.

faceswap

3d style

pixel style

UnrealMe

Consumer iOS app for personalized AI videos from selfies, built in 2024 before GenAI video models matured. Built with custom FLUX LoRAs for personalized image generation; I owned the full cycle from product development to the ML/AI backend pipeline for training LoRAs.