Maxim Anokhin

03 / Services

WHAT I

BUILD

I take on work where the problem is hard, the stakes are real, and “good enough” isn't acceptable.

01

AI System Design

From architecture to production

End-to-end ML pipeline design — from problem scoping and data strategy through model selection, training infrastructure, inference optimization, and production deployment.

ML pipeline architecture
Model selection & evaluation
Inference optimization
Human-in-the-loop design
GPU infrastructure setup
02

Backend Engineering

Distributed systems at scale

High-performance backend systems in Go and Python. Microservice architecture, async task queues, multi-tenant SaaS patterns, database design, and API design for systems that need to handle real production load.

Go / Python services
PostgreSQL schema design
Redis caching strategy
REST & async queue APIs
CI/CD pipeline setup
03

Full-Stack Product

Spec to deployment, end-to-end

Complete product ownership — from technical specification through frontend (Next.js), backend, infrastructure on Vercel/cloud, and iterative deployment.

Next.js frontend
Product architecture docs
Vercel / cloud deployment
Auth & multi-tenancy
Analytics integration
04

Computer Vision R&D

State-of-the-art applied research

Applied CV research focused on video understanding, depth estimation, neural rendering (NeRF / Gaussian Splatting), scene reconstruction, and temporal consistency.

Video segmentation
Depth estimation
3D reconstruction (NeRF/GS)
UV rasterization
Optical flow pipelines
05

Data & MLOps

Pipelines that don't break at 3AM

Robust data infrastructure and ML operations — experiment tracking, model versioning, GPU cluster management, monitoring, and reproducible training pipelines.

W&B / MLflow setup
Docker & Kubernetes
RunPod / Modal deployment
Data pipeline design
Model monitoring
06

Technical Advisory

Strategic clarity for hard problems

For founders and CTOs navigating AI strategy, team structure, build-vs-buy decisions, or investor-facing technical documentation. I've been on both sides of the table.

AI strategy workshops
Technical due diligence
Team structure advice
Investor tech narrative
Architecture reviews

How I work

Process

01

Scope

Deep-dive into the problem — constraints, goals, existing systems.

02

Architect

Design the system: data flows, model choices, infrastructure.

03

Build

Iterative delivery with clear milestones. Weekly updates.

04

Ship

Production-grade deployment, monitoring, and handoff docs.

Ready to build?

Tell me what you're working on. I respond fast and I'll tell you honestly if I'm the right person for it.

Get in touch